5.4.3.6.2 Tone Mapping of Images

Chapter Contents (Back)
Compression. Tone Mapping. Color Quantization. Often for compression of HDR images.
See also HDR, High Dynamic Range, Enhanced Dynamic Range from Multiple Images.

Qiu, G.P.[Guo-Ping], Duan, J.[Jiang], Finlayson, G.D.[Graham D.],
Learning to display high dynamic range images,
PR(40), No. 10, October 2007, pp. 2641-2655.
Elsevier DOI 0707
BibRef
And: Erratum: PR(41), No. 4, April 2008, pp. 1428.
Elsevier DOI 0801
Learning-based image processing; Quantization; High dynamic range imaging; Dynamic range compression; Neural network; Competitive learning BibRef

Qiu, G.P.[Guo-Ping], Guan, J.[Jian], Duan, J.[Jian], Chen, M.[Min],
Tone Mapping for HDR Image using Optimization A New Closed Form Solution,
ICPR06(I: 996-999).
IEEE DOI 0609
To display high dynamic range. BibRef

Mei, Y.J.[Yu-Jie], Qiu, G.P.[Guo-Ping], Lam, K.M.[Kin-Man],
Saliency Modulated High Dynamic Range Image Tone Mapping,
ICIG11(22-27).
IEEE DOI 1109
BibRef

Guan, J.[Jian], Qiu, G.P.[Guo-Ping],
Display HDR Image using a Gain Map,
ICIP07(III: 521-524).
IEEE DOI 0709
BibRef
Earlier:
Fast tone mapping for high dynamic range images,
ICPR04(II: 847-850).
IEEE DOI 0409
BibRef

Okuda, M.[Masahiro], Adami, N.[Nicola],
Two-layer coding algorithm for high dynamic range images based on luminance compensation,
JVCIR(18), No. 5, October 2007, pp. 377-386.
Elsevier DOI 0711
High dynamic range images, Two-layer encoding, Inverse tone mapping function
See also Multiple Exposure Fusion for High Dynamic Range Image Acquisition. BibRef

Jinno, T.[Takao], Okuda, M.[Masahiro], Adami, N.[Nicola],
Detail preserving multiple bit-depth image representation and coding,
ICIP11(1533-1536).
IEEE DOI 1201
BibRef
Earlier:
Acquisition and Encoding of High Dynamic Range Images using Inverse Tone Mapping,
ICIP07(IV: 181-184).
IEEE DOI 0709
BibRef

Boschetti, A.[Alberto], Adami, N.[Nicola], Leonardi, R.[Riccardo], Okuda, M.[Masahiro],
Image coding with face descriptors embedding,
ICIP11(3665-3668).
IEEE DOI 1201
BibRef

Duan, J.[Jiang], Bressan, M.[Marco], Dance, C.[Chris], Qiu, G.P.[Guo-Ping],
Tone-mapping high dynamic range images by novel histogram adjustment,
PR(43), No. 5, May 2010, pp. 1847-1862.
Elsevier DOI 1003
Tone mapping; Tone reproduction; Adaptation; High dynamic range; Adaptive; Bilateral; Histogram BibRef

Tian, Q.Y.[Qi-Yuan], Duan, J.[Jiang], Qiu, G.P.[Guo-Ping],
GPU-accelerated local tone-mapping for high dynamic range images,
ICIP12(377-380).
IEEE DOI 1302
BibRef

Tian, Q.Y.[Qi-Yuan], Duan, J.[Jiang], Chen, M.[Min], Peng, T.[Tao],
Segmentation Based Tone-Mapping for High Dynamic Range Images,
ACIVS11(360-371).
Springer DOI 1108
BibRef

Li, X.G.[Xiao-Guang], Lam, K.M.[Kin Man], Shen, L.S.[Lan-Sun],
An adaptive algorithm for the display of high-dynamic range images,
JVCIR(18), No. 5, October 2007, pp. 397-405.
Elsevier DOI 0711
High-dynamic range image; Tone mapping; Tone reproduction BibRef

Hassan, F.[Firas], Carletta, J.E.[Joan E.],
An FPGA-based architecture for a local tone-mapping operator,
RealTimeIP(2), No. 4, December 2007, pp. 293-308.
Springer DOI 0712
BibRef

Meylan, L.[Laurence], Alleysson, D.[David], Süsstrunk, S.[Sabine],
Model of retinal local adaptation for the tone mapping of color filter array images,
JOSA-A(24), No. 9, September 2007, pp. 2807-2816.
DOI Link 0801
BibRef

Kuang, J.T.[Jiang-Tao], Johnson, G.M.[Garrett M.], Fairchild, M.D.[Mark D.],
iCAM06: A refined image appearance model for HDR image rendering,
JVCIR(18), No. 5, October 2007, pp. 406-414.
Elsevier DOI 0711
Image appearance; HDR imaging; Tone mapping; Rendering; Vision modeling; Tone-mapping operator testing BibRef

Gatta, C.[Carlo], Rizzi, A.[Alessandro], Marini, D.[Daniele],
Perceptually inspired HDR images tone mapping with color correction,
IJIST(17), No. 5, 2007, pp. 285-294.
DOI Link 0802
BibRef

Gatta, C.[Carlo], Radeva, P.[Petia],
Bilateral enhancers,
ICIP09(3161-3164).
IEEE DOI 0911
BibRef

Park, S.H.[Sung Ho], Montag, E.D.[Ethan D.],
Evaluating tone mapping algorithms for rendering non-pictorial (scientific) high-dynamic-range images,
JVCIR(18), No. 5, October 2007, pp. 415-428.
Elsevier DOI 0711
High-dynamic-range image; Rendering; Psychophysics BibRef

Wang, J.H.[Jin-Hua], Xu, D.[De], Li, B.[Bing],
A Novel Tone Mapping Based on Double-Anchoring Theory for Displaying HDR Images,
IEICE(E92-D), No. 12, December 2009, pp. 2487-2497.
WWW Link. 0912
BibRef

Hu, K.J.[Kuo-Jui], Lu, M.Y.[Min-Yao], Wang, J.C.[Je-Chuang], Hsu, T.I.[Tao-I], Chang, T.T.[Ting-Ting],
Using Adaptive Tone Mapping to Enhance Edge-Preserving Color Image Automatically,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1101
BibRef

Wu, X.,
A Linear Programming Approach for Optimal Contrast-Tone Mapping,
IP(20), No. 5, May 2011, pp. 1262-1272.
IEEE DOI 1104
BibRef

Ferradans, S.[Sira], Bertalmio, M.[Marcelo], Provenzi, E.[Edoardo], Caselles, V.[Vincent],
An Analysis of Visual Adaptation and Contrast Perception for Tone Mapping,
PAMI(33), No. 10, October 2011, pp. 2002-2012.
IEEE DOI 1109
Compress high-dynamic range image to display on low-dynamic range device.
See also Perceptual Color Correction Through Variational Techniques. BibRef

Zhang, J.[Jian], Kamata, S.I.[Sei-Ichiro],
A Simple and Effective Clustering Algorithm for Multispectral Images Using Space-Filling Curves,
IEICE(E95-D), No. 7, July 2012, pp. 1749-1757.
WWW Link. 1208
BibRef
And:
An Adaptive Tone Mapping Algorithm for High Dynamic Range Images,
CCIW09(207-215).
Springer DOI 0903
BibRef
Earlier:
Adaptive local contrast enhancement for the visualization of high dynamic range images,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Seeman, M.[Michal], Zemcík, P.[Pavel], Juránek, R.[Roman], Herout, A.[Adam],
Fast bilateral filter for HDR imaging,
JVCIR(23), No. 1, January 2012, pp. 12-17.
Elsevier DOI 1112
Bilateral filter; HDR; Dynamic range reduction; Tone mapping; Image processing; Approximation; Acceleration; Human visual system BibRef

Akil, M.[Mohamed], Grandpierre, T.[Thierry], Perroton, L.[Laurent],
Real-time dynamic tone-mapping operator on GPU,
RealTimeIP(7), No. 3, September 2012, pp. 165-172.
WWW Link. 1208
BibRef

Yeganeh, H.[Hojatollah], Wang, Z.[Zhou],
Objective Quality Assessment of Tone-Mapped Images,
IP(22), No. 2, February 2013, pp. 657-667.
IEEE DOI 1302
BibRef
Earlier:
Structural Fidelity vs. Naturalness: Objective Assessment of Tone Mapped Images,
ICIAR11(I: 111-121).
Springer DOI 1106
BibRef
Earlier:
Objective assessment of tone mapping algorithms,
ICIP10(2477-2480).
IEEE DOI 1009
BibRef

Yeganeh, H.[Hojatollah], Wang, S.Q.[Shi-Qi], Zeng, K.[Kai], Eisapour, M.[Mahzar], Wang, Z.[Zhou],
Objective Quality Assessment of Tone-Mapped Videos,
ICIP16(899-903)
IEEE DOI 1610
Adaptation models BibRef

Mai, Z.C.[Zi-Cong], Mansour, H.[Hassan], Nasiopoulos, P.[Panos], Ward, R.K.[Rabab K.],
Visually Favorable Tone-Mapping With High Compression Performance in Bit-Depth Scalable Video Coding,
MultMed(15), No. 7, 2013, pp. 1503-1518.
IEEE DOI 1312
BibRef
Earlier:
Visually-favorable tone-mapping with high compression performance,
ICIP10(1285-1288).
IEEE DOI 1009
data compression BibRef

Lee, C.[Chul], Kim, C.S.[Chang-Su],
Rate-distortion optimized layered coding of high dynamic range videos,
JVCIR(23), No. 6, August 2012, pp. 908-923.
Elsevier DOI 1208
High dynamic range video; Video coding; Rate-distortion optimization; Layered coding; H.264/AVC; Tone mapping; Backward compatibility; Human visual system BibRef

Yang, L.[Lei], Wu, D.P.[Da-Peng],
Adaptive quantization using piecewise companding and scaling for Gaussian mixture,
JVCIR(23), No. 7, October 2012, pp. 959-971.
Elsevier DOI 1209
Scalar quantization, Companding, Scaling, Lloyd-Max quantizer, Gaussian mixture model (GMM), Analog-to-digital converter (ADC), High dynamic range (HDR) image, Tone mapping BibRef

Gu, B., Li, W., Zhu, M., Wang, M.,
Local Edge-Preserving Multiscale Decomposition for High Dynamic Range Image Tone Mapping,
IP(22), No. 1, January 2013, pp. 70-79.
IEEE DOI 1301
BibRef

Choudhury, A.[Anustup], Medioni, G.[Gérard],
Hierarchy of nonlocal means for preferred automatic sharpness enhancement and tone mapping,
JOSA-A(30), No. 3, March 2013, pp. 353-366.
DOI Link 1303
BibRef
Earlier:
Perceptually motivated automatic sharpness enhancement using hierarchy of non-local means,
Color11(730-737).
IEEE DOI 1201
BibRef

Boitard, R.[Ronan], Cozot, R.[Rémi], Thoreau, D.[Dominique], Bouatouch, K.[Kadi],
Zonal brightness coherency for video tone mapping,
SP:IC(29), No. 2, 2014, pp. 229-246.
Elsevier DOI 1403
Video tone mapping BibRef

Melo, M.[Miguel], Bessa, M.[Maximino], Debattista, K.[Kurt], Chalmers, A.[Alan],
Evaluation of HDR video tone mapping for mobile devices,
SP:IC(29), No. 2, 2014, pp. 247-256.
Elsevier DOI 1403
HDR video BibRef

Koz, A.[Alper], Dufaux, F.[Frederic],
Methods for improving the tone mapping for backward compatible high dynamic range image and video coding,
SP:IC(29), No. 2, 2014, pp. 274-292.
Elsevier DOI 1403
BibRef
Earlier:
Optimized tone mapping with LDR image quality constraint for backward-compatible high dynamic range image and video coding,
ICIP13(1762-1766)
IEEE DOI 1402
BibRef
Earlier:
Optimized tone mapping with perceptually uniform luminance values for backward-compatible high dynamic range video compression,
VCIP12(1-6).
IEEE DOI 1302
High dynamic range video compression. Backward Compatible. for displays BibRef

Xiao, J.S.[Jin-Sheng], Li, W.H.[Wen-Hao], Liu, G.X.[Guo-Xiong], Shaw, S.L.[Shih-Lung], Zhang, Y.Q.[Yong-Qin],
Hierarchical tone mapping based on image colour appearance model,
IET-CV(8), No. 4, August 2014, pp. 358-364.
DOI Link 1407
For HDR images. BibRef

Ma, K.[Kede], Yeganeh, H., Zeng, K.[Kai], Wang, Z.[Zhou],
High Dynamic Range Image Compression by Optimizing Tone Mapped Image Quality Index,
IP(24), No. 10, October 2015, pp. 3086-3097.
IEEE DOI 1507
Dynamic range
See also Perceptual Quality Assessment for Multi-Exposure Image Fusion. BibRef

Huo, Y.Q.[Yong-Qing], Yang, F.[Fan], Dong, L.[Le], Brost, V.[Vincent],
Physiological inverse tone mapping based on retina response,
VC(30), No. 5, May 2014, pp. 507-517.
WWW Link. 1404
BibRef

Fang, H.M.[Hua-Meng], Yi, B.[Benshun], Zhang, Y.Q.[Yong-Qin], Xie, Q.Y.[Qiu-Ying],
Tone mapping based on fast image decomposition and multi-layer fusion,
IET-CV(9), No. 6, 2015, pp. 937-942.
DOI Link 1512
image colour analysis BibRef

Nafchi, H.Z.[H. Ziaei], Shahkolaei, A., Moghaddam, R.F.[R. Farrahi], Cheriet, M.,
FSITM: A Feature Similarity Index For Tone-Mapped Images,
SPLetters(22), No. 8, August 2015, pp. 1026-1029.
IEEE DOI 1502
display instrumentation. Compare result to original HDR image. BibRef

Bayram, I.,
Penalty Functions Derived From Monotone Mappings,
SPLetters(22), No. 3, March 2015, pp. 265-269.
IEEE DOI 1410
Convex functions BibRef

Melo, M.[Miguel], Bessa, M.[Maximino], Barbosa, L.[Luis], Debattista, K.[Kurt], Chalmers, A.[Alan],
Screen reflections impact on HDR video tone mapping for mobile devices: an evaluation study,
JIVP(2015), No. 1, 2015, pp. 44.
DOI Link 1601
BibRef

Narwaria, M.[Manish], Perreira da Silva, M.[Matthieu], Le Callet, P.[Patrick], Pepion, R.[Romuald],
Tone mapping based HDR compression: Does it affect visual experience?,
SP:IC(29), No. 2, 2014, pp. 257-273.
Elsevier DOI 1403
High dynamic range (HDR) BibRef

Kim, B.K.[Baek-Kyu], Park, R.H.[Rae-Hong], Chang, S.[Soon_Keun],
Tone mapping with contrast preservation and lightness correction in high dynamic range imaging,
SIViP(10), No. 8, November 2016, pp. 1425-1432.
WWW Link. 1610
BibRef

Liu, J.[Jian], Hassan, F.[Firas], Carletta, J.E.[Joan E.],
A study of hardware-friendly methods for gradient domain tone mapping of high dynamic range images,
RealTimeIP(12), No. 1, June 2016, pp. 165-181.
WWW Link. 1606
BibRef

Banterle, F.[Francesco], Artusi, A.[Alessandro], Sikudova, E.[Elena], Ledda, P.[Patrick], Bashford-Rogers, T.[Thomas], Chalmers, A.[Alan], Bloj, M.[Marina],
Mixing tone mapping operators on the GPU by differential zone mapping based on psychophysical experiments,
SP:IC(48), No. 1, 2016, pp. 50-62.
Elsevier DOI 1609
High dynamic range imaging BibRef

Oskarsson, M.[Magnus],
Temporally Consistent Tone Mapping of Images and Video Using Optimal K-means Clustering,
JMIV(57), No. 2, February 2017, pp. 225-238.
WWW Link. 1702
BibRef
Earlier:
Democratic Tone Mapping Using Optimal K-means Clustering,
SCIA15(354-365).
Springer DOI 1506
BibRef

Gommelet, D.[David], Roumy, A.[Aline], Guillemot, C.[Christine], Ropert, M.[Michael], Le Tanou, J.[Julien],
Gradient-Based Tone Mapping for Rate-Distortion Optimized Backward-Compatible High Dynamic Range Compression,
IP(26), No. 12, December 2017, pp. 5936-5949.
IEEE DOI 1710
BibRef
Earlier:
Rate-distortion optimization of a tone mapping with SDR quality constraint for backward-compatible high dynamic range compression,
ICIP16(1384-1388)
IEEE DOI 1610
Distortion, Image coding, Image reconstruction, Minimization, Optimization, Rate distortion theory, HEVC, High dynamic range (HDR), backward-compatible, compression, gradient, intraframe R-D model, tone-mapping, (TMO) BibRef

Ok, J.[Jiheon], Lee, C.H.[Chul-Hee],
HDR tone mapping algorithm based on difference compression with adaptive reference values,
JVCIR(43), No. 1, 2017, pp. 61-76.
Elsevier DOI 1702
High dynamic range image BibRef

Jung, C., Sun, T.,
Optimized Perceptual Tone Mapping for Contrast Enhancement of Images,
CirSysVideo(27), No. 6, June 2017, pp. 1161-1170.
IEEE DOI 1706
Brightness, Distortion, Dynamic range, Histograms, Lighting, Resource management, Visualization, Contrast enhancement, histogram equalization (HE), tone distortion, tone mapping, visual attention, visual, saliency BibRef

Li, Z.H.[Zhen-Hao], Wu, X.L.[Xiao-Lin],
Learning-Based Restoration of Backlit Images,
IP(27), No. 2, February 2018, pp. 976-986.
IEEE DOI 1712
Spatially adaptive technique of optimal tone mapping. Histograms, Image edge detection, Image restoration, Image segmentation, Labeling, Lighting, Support vector machines, tone mapping BibRef

Cyriac, P.[Praveen], Batard, T.[Thomas], Bertalmío, M.[Marcelo],
A Nonlocal Variational Formulation for the Improvement of Tone Mapped Images,
SIIMS(7), No. 4, 2014, pp. 2340-2363.
DOI Link 1412
BibRef
A Variational Method for the Optimization of Tone Mapping Operators,
PSIVT13(505-516).
Springer DOI 1402
BibRef

Batard, T.[Thomas], Bertalmío, M.[Marcelo],
Harmonic Flow for Histogram Matching,
PSIVTWS13(145-156).
Springer DOI 1402
BibRef

Wei, Z., Wen, C., Li, Z.,
Local Inverse Tone Mapping for Scalable High Dynamic Range Image Coding,
CirSysVideo(28), No. 2, February 2018, pp. 550-555.
IEEE DOI 1802
Dynamic range, Encoding, Estimation, Image coding, Image edge detection, Optimization, Smoothing methods, tone mapping BibRef

Abebe, M.A.[Mekides Assefa], Booth, A.[Alexandra], Kervec, J.[Jonathan], Pouli, T.[Tania], Larabi, M.C.[Mohamed-Chaker],
Towards an automatic correction of over-exposure in photographs: Application to tone-mapping,
CVIU(168), 2018, pp. 3-20.
Elsevier DOI 1804
Image enhancement, Over-exposure correction, High dynamic range imaging, Tone-mapping BibRef

Benzi, M.[Marco], Escobar, M.J.[Maria-Jose], Kornprobst, P.[Pierre],
A bio-inspired synergistic virtual retina model for tone mapping,
CVIU(168), 2018, pp. 21-36.
Elsevier DOI 1804
Tone mapping, HDR, Retina, Photoreceptor adaptation, Contrast gain control, Synergistic model BibRef

Li, H.[Hui], Jia, X.X.[Xi-Xi], Zhang, L.[Lei],
Clustering based content and color adaptive tone mapping,
CVIU(168), 2018, pp. 37-49.
Elsevier DOI 1804
High dynamic range, Tone mapping, Clustering BibRef

Artusi, A.[Alessandro], Pouli, T.[Tania], Banterle, F.[Francesco], Akyüz, A.O.[Ahmet Oguz],
Automatic saturation correction for dynamic range management algorithms,
SP:IC(63), 2018, pp. 100-112.
Elsevier DOI 1804
High dynamic range imaging, Color correction, Gamut mapping, Tone mapping, Inverse/reverse tonemapping BibRef

Cerda-Company, X.[Xim], Parraga, C.A.[C. Alejandro], Otazu, X.[Xavier],
Which tone-mapping operator is the best? A comparative study of perceptual quality,
JOSA-A(35), No. 4, April 2018, pp. 626-638.
DOI Link 1804
Survey, Tone Mapping. Digital image processing, Image reconstruction techniques, Psychophysics BibRef

Lee, D.H.[Dae-Hong], Fan, M.[Ming], Kim, S.W.[Seung-Wook], Kang, M.C.[Mun-Cheon], Ko, S.J.[Sung-Jea],
High dynamic range image tone mapping based on asymmetric model of retinal adaptation,
SP:IC(68), 2018, pp. 120-128.
Elsevier DOI 1810
High dynamic range image, Tone mapping operator, Retina response model, Perceptual image processing BibRef

El Mezeni, D.M.[Dragomir M.], Saranovac, L.V.[Lazar V.],
Enhanced local tone mapping for detail preserving reproduction of high dynamic range images,
JVCIR(53), 2018, pp. 122-133.
Elsevier DOI 1805
BibRef

Ozcinar, C.[Cagri], Lauga, P.[Paul], Valenzise, G.[Giuseppe], Dufaux, F.[Frédéric],
Spatio-temporal constrained tone mapping operator for HDR video compression,
JVCIR(55), 2018, pp. 166-178.
Elsevier DOI 1809
High dynamic range, Video compression, Tone mapping operator, Convex optimization BibRef

Jo, S.Y.[So Yeon], Lee, S.Y.[Si-Yeong], Ahn, N.[Namhyun], Kang, S.J.[Suk-Ju],
Deep Arbitrary HDRI: Inverse Tone Mapping With Controllable Exposure Changes,
MultMed(24), 2022, pp. 2713-2726.
IEEE DOI 2206
Image restoration, Dynamic range, Generators, High frequency, Brightness, Training, Process control, High dynamic range imaging, deep learning BibRef

Lee, S.Y.[Si-Yeong], An, G.H.[Gwon Hwan], Kang, S.J.[Suk-Ju],
Deep Recursive HDRI: Inverse Tone Mapping Using Generative Adversarial Networks,
ECCV18(II: 613-628).
Springer DOI 1810
BibRef

Rana, A., Valenzise, G., Dufaux, F.,
Learning-Based Tone Mapping Operator for Efficient Image Matching,
MultMed(21), No. 1, January 2019, pp. 256-268.
IEEE DOI 1901
BibRef
Earlier:
Learning-based tone mapping operator for image matching,
ICIP17(2374-2378)
IEEE DOI 1803
Feature extraction, Image matching, Lighting, Task analysis, Dynamic range, Detectors, High dynamic range, machine learning. Modulation, Training, Descriptor, Tone mapping operator BibRef

Zhang, Z.M.[Zhu-Ming], Han, C.[Chu], He, S.F.[Sheng-Feng], Liu, X.T.[Xue-Ting], Zhu, H.C.[Hai-Chao], Hu, X.H.[Xing-Hong], Wong, T.T.[Tien-Tsin],
Deep binocular tone mapping,
VC(35), No. 6-8, June 2018, pp. 997-1011.
Springer DOI 1906
BibRef

Ambalathankandy, P.[Prasoon], Horé, A.[Alain], Yadid-Pecht, O.[Orly],
An FPGA implementation of a tone mapping algorithm with a halo-reducing filter,
RealTimeIP(16), No. 4, August 2019, pp. 1317-1333.
Springer DOI 1908
BibRef

Fan, M.[Ming], Lee, D.H.[Dae-Hong], Kim, S.W.[Seung-Wook], Ko, S.J.[Sung-Jea],
An optimization framework for inverse tone mapping using a single low dynamic range image,
SP:IC(78), 2019, pp. 274-283.
Elsevier DOI 1909
Inverse tone mapping, Newton-Raphson, Brightness enhancement function BibRef

Rana, A., Singh, P., Valenzise, G., Dufaux, F., Komodakis, N., Smolic, A.,
Deep Tone Mapping Operator for High Dynamic Range Images,
IP(29), 2020, pp. 1285-1298.
IEEE DOI 1911
Dynamic range, Generative adversarial networks, Generators, Task analysis, Imaging, Indexes, High dyanmic range images, generative adversarial networks BibRef

Song, K.S., Kang, M.G.,
Optimized Tone Mapping Function for Contrast Enhancement Considering Human Visual Perception System,
CirSysVideo(29), No. 11, November 2019, pp. 3199-3210.
IEEE DOI 1911
Visualization, Visual perception, Histograms, Linear programming, Optimization, Brightness, Measurement, Contrast enhancement, human visual perception system BibRef

Buades, A.[Antoni], Lisani, J.L.[Jose-Luis], Petro, A.B.[Ana Belen], Sbert, C.[Catalina],
Backlit images enhancement using global tone mappings and image fusion,
IET-IPR(14), No. 2, February 2020, pp. 211-219.
DOI Link 2001
BibRef

Kim, D.E.[Dae-Eun], Kim, M.C.[Mun-Churl],
Learning-Based Low-Complexity Reverse Tone Mapping With Linear Mapping,
CirSysVideo(30), No. 2, February 2020, pp. 400-414.
IEEE DOI 2002
Image reconstruction, TV, Dynamic range, Standards, Image restoration, Convolutional neural networks, reverse tone mapping operator BibRef

Kim, S.Y.[Soo Ye], Kim, D.E.[Dae-Eun], Kim, M.C.[Mun-Churl],
ITM-CNN: Learning the Inverse Tone Mapping from Low Dynamic Range Video to High Dynamic Range Displays Using Convolutional Neural Networks,
ACCV18(III:395-409).
Springer DOI 1906
BibRef

Gao, S., Tan, M., He, Z., Li, Y.,
Tone Mapping Beyond the Classical Receptive Field,
IP(29), 2020, pp. 4174-4187.
IEEE DOI 2002
Tone mapping, classical receptive field, surround modulation, biologically inspired computer vision BibRef

Le, Q.T.[Quyet-Tien], Ladret, P.[Patricia], Nguyen, H.T.[Huu-Tuan], Caplier, A.[Alice],
Study of naturalness in tone-mapped images,
CVIU(196), 2020, pp. 102971.
Elsevier DOI 2006
Image unnaturalness study, High dynamic range image, Standard dynamic range image, Tone mapping operator, Convolutional neural network BibRef

Song, Q.[Qing], Su, G.M.[Guan-Ming], Cosman, P.C.[Pamela C.],
Efficient Debanding Filtering for Inverse Tone Mapped High Dynamic Range Videos,
CirSysVideo(30), No. 8, August 2020, pp. 2575-2589.
IEEE DOI 2008
BibRef
Earlier:
Hardware-efficient debanding and visual enhancement filter for inverse tone mapped high dynamic range images and videos,
ICIP16(3299-3303)
IEEE DOI 1610
Videos, Dynamic range, Decoding, Image color analysis, Metadata, Random access memory, Image edge detection, Sparse filter, visual enhancement. Dynamic range BibRef

Ambalathankandy, P., Ikebe, M., Yoshida, T., Shimada, T., Takamaeda, S., Motomura, M., Asai, T.,
An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA,
CirSysVideo(30), No. 9, September 2020, pp. 3015-3028.
IEEE DOI 2009
Histograms, Field programmable gate arrays, Estimation, Real-time systems, Image edge detection, Hardware, Image coding, FPGA BibRef

Nunes, G.M.S.[Gustavo M.S.], Oliveira, F.D.V.R.[Fernanda D.V.R.], Farias, M.C.Q.[Mylène C.Q.], Gomes, J.G.R.C.[José Gabriel R.C.], Petraglia, A.[Antonio], Fernández-Berni, J.[Jorge], Carmona-Galán, R.[Ricardo], Rodríguez-Vázquez, Á.[Ángel],
Comparison between Digital Tone-Mapping Operators and a Focal-Plane Pixel-Parallel Circuit,
SP:IC(88), 2020, pp. 115937.
Elsevier DOI 2009
Tone mapping, Focal plane, High dynamic range, Color image processing, Image quality BibRef

Khwildi, R.[Raoua], Zaid, A.O.[Azza Ouled],
HDR image retrieval by using color-based descriptor and tone mapping operator,
VC(36), No. 6, June 2020, pp. 1111-1126.
WWW Link. 2005
BibRef

Mohammadi, P.[Pedram], Pourazad, M.T.[Mahsa T.], Nasiopoulos, P.[Panos],
A Perception-Based Inverse Tone Mapping Operator for High Dynamic Range Video Applications,
CirSysVideo(31), No. 5, 2021, pp. 1711-1723.
IEEE DOI 2105
BibRef

Faraji, M.R.[Mohammad Reza],
Full-reference tone-mapped images quality assessment,
IET-IPR(15), No. 3, 2021, pp. 763-773.
DOI Link 2106
BibRef

Shen, X.M.[Xu-Ming], Feng, J.H.[Jian-Hua], Zhang, X.D.[Xian-Dou],
A content-dependent Daltonization algorithm for colour vision deficiencies based on lightness and chroma information,
IET-IPR(15), No. 4, 2021, pp. 983-996.
DOI Link 2106
BibRef

Mohammadi, P.[Pedram], Pourazad, M.T.[Mahsa T.], Nasiopoulos, P.[Panos],
A Fully Automatic Content Adaptive Inverse Tone Mapping Operator With Improved Color Accuracy,
CirSysVideo(31), No. 11, November 2021, pp. 4198-4213.
IEEE DOI 2112
Brightness, Visualization, Color, Image color analysis, Dynamic range, Histograms, Entropy, Inverse tone mapping, iTMO, High Dynamic Range (HDR) BibRef

Zhou, F.[Fei], Liao, G.S.[Guang-Sen], Duan, J.[Jiang], Liu, B.Z.[Bo-Zhi], Qiu, G.P.[Guo-Ping],
Tone mapping high dynamic range images based on region-adaptive self-supervised deep learning,
SP:IC(102), 2022, pp. 116595.
Elsevier DOI 2202
Tone mapping, High dynamic range, Region-adaptive self-supervised learning BibRef

Khan, I.R.[Ishtiaq Rasool], Alotaibi, T.A.[Theyab A.], Siddiq, A.[Asif], Bourennani, F.[Farid],
Evaluating Quantitative Metrics of Tone-Mapped Images,
IP(31), 2022, pp. 1751-1760.
IEEE DOI 2202
Measurement, Statistics, Sociology, Image quality, Indexes, Feature extraction, Distortion, High dynamic range imaging, metaheuristics BibRef

Ou, Y.F.[Ya-Fei], Ambalathankandy, P.[Prasoon], Takamaeda, S.[Shinya], Motomura, M.[Masato], Asai, T.[Tetsuya], Ikebe, M.[Masayuki],
Real-Time Tone Mapping: A Survey and Cross-Implementation Hardware Benchmark,
CirSysVideo(32), No. 5, May 2022, pp. 2666-2686.
IEEE DOI 2205
Survey, Tone Mapping. Graphics processing units, Field programmable gate arrays, Hardware, Dynamic range, Imaging, Image sensors, Real-time systems, GPU BibRef

Zhang, N.[Ning], Zhao, Y.[Yang], Wang, C.[Chao], Wang, R.G.[Rong-Gang],
A Real-Time Semi-Supervised Deep Tone Mapping Network,
MultMed(24), 2022, pp. 2815-2827.
IEEE DOI 2206
Image color analysis, Generative adversarial networks, Training, Image coding, Dynamic range, Task analysis, Deep learning, light-weight BibRef

Yang, J.C.[Jia-Chen], Zhou, Y.[Yanshuang], Zhao, Y.[Yang], Wen, J.[Jiabao],
Blind quality assessment of tone-mapped images using multi-exposure sequences,
JVCIR(87), 2022, pp. 103553.
Elsevier DOI 2208
High dynamic range, Tone-mapped image, Image quality assessment (IQA) BibRef

Wu, G.[Guotao], Song, R.[Ran], Zhang, M.X.[Ming-Xin], Li, X.L.[Xiao-Lei], Rosin, P.L.[Paul L.],
LiTMNet: A deep CNN for efficient HDR image reconstruction from a single LDR image,
PR(127), 2022, pp. 108620.
Elsevier DOI 2205
HDR image reconstruction, Lightweight CNN, Inverse tone mapping BibRef

Kocdemir, I.H.[Ismail Hakki], Koz, A.[Alper], Akyuz, A.O.[Ahmet Oguz], Chalmers, A.[Alan], Alatan, A.[Aydin], Kalkan, S.[Sinan],
TMO-Det: Deep tone-mapping optimized with and for object detection,
PRL(172), 2023, pp. 230-236.
Elsevier DOI 2309
Object detection, High dynamic range, Low dynamic range, Tone-Mapping, Generative adversarial networks BibRef

Zhang, N.[Ning], Ye, Y.[Yuyao], Zhao, Y.[Yang], Wang, R.G.[Rong-Gang],
Revisiting the Stack-Based Inverse Tone Mapping,
CVPR23(9162-9171)
IEEE DOI 2309
BibRef

Han, X.[Xueyu], Khan, I.R.[Ishtiaq Rasool], Rahardja, S.[Susanto],
Image tone mapping based on clustering and human visual system models,
SP:IC(120), 2024, pp. 117075.
Elsevier DOI 2312
Clustering, High dynamic range (HDR), Human visual system (HVS), Tone mapping BibRef

Alotaibi, T.[Theyab], Khan, I.R.[Ishtiaq Rasool], Bourennani, F.[Farid],
Quality Assessment of Tone-Mapped Images Using Fundamental Color and Structural Features,
MultMed(26), 2024, pp. 1244-1254.
IEEE DOI 2402
Measurement, Image quality, Feature extraction, Distortion, Image color analysis, Brightness, Dynamic range, tone-mapping BibRef

Hu, C.[Chaoxuan], Liu, P.P.[Pei-Pei], Qin, W.F.[Wei-Feng], Wang, S.[Shuo],
Natureness-preserving tone mapping operator based on improved guided filter and adaptive Gamma curve,
IET-IPR(18), No. 3, 2024, pp. 694-706.
DOI Link 2402
chromatic recovery, high dynamic range imaging, image detail enhancement, tone mapping BibRef

Cao, C.[Cong], Yue, H.[Huanjing], Liu, X.[Xin], Yang, J.Y.[Jing-Yu],
Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning,
CirSysVideo(34), No. 2, February 2024, pp. 786-798.
IEEE DOI Code:
WWW Link. 2402
Feature extraction, Brightness, Training, Codes, Image enhancement, Unsupervised learning, Task analysis, video tone mapping dataset BibRef


Han, X.[Xueyu], Rahardja, S.[Susanto],
High Dynamic Range Image Tone Mapping Based on Layer Decomposition and Image Fusion,
ICIP23(221-225)
IEEE DOI 2312
BibRef

Pistellato, M.[Mara], Bergamasco, F.[Filippo],
On-the-go Reflectance Transformation Imaging with Ordinary Smartphones,
VisArt22(251-267).
Springer DOI 2304
BibRef

You, H.J.[Hong-Jie], Chen, H.[Hu], Wang, Y.C.[Yi-Chuan], Cui, K.[Kai], Steinbach, E.[Eckehard],
CNN-Based Local Tone Mapping in the Perceptual Quantization Domain,
ICIP22(1566-1570)
IEEE DOI 2211
Deep learning, Quantization (signal), Image coding, Pipelines, Neural networks, MIMICs, Transfer functions, High dynamic range, convolutional neural network BibRef

Vinker, Y.[Yael], Huberman-Spiegelglas, I.[Inbar], Fattal, R.[Raanan],
Unpaired Learning for High Dynamic Range Image Tone Mapping,
ICCV21(14637-14646)
IEEE DOI 2203
Training, Photography, Deep learning, Visualization, Image coding, Neural networks, Image and video synthesis, Computational photography BibRef

Hu, L.T.[Li-Tao], Chen, H.[Huaijin], Allebach, J.P.[Jan P.],
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement,
ComputationalApp22(729-738)
IEEE DOI 2202
Image sensors, Image coding, Image color analysis, Noise reduction, Dynamic range, Sensors, Image enhancement BibRef

Li, M., Wu, X., Liu, J., Guo, Z.,
Restoration of Unevenly Illuminated Images,
ICIP18(1118-1122)
IEEE DOI 1809
Image restoration, Lighting, Histograms, Image edge detection, Gaussian mixture model, Gaussian distribution, tone mapping BibRef

Ulucan, O.[Oguzhan], Karakaya, D.[Diclehan], Turkan, M.[Mehmet],
Saturated Region Recovery in Tone-Mapped HDR Images,
ICIP21(1774-1778)
IEEE DOI 2201
Image color analysis, Imaging, Dynamic range, Image restoration, Image restoration, image enhancement, linear embeddings, saturation correction BibRef

Su, C.C.[Chien-Chuan], Wang, R.[Ren], Lin, H.J.[Hung-Jin], Liu, Y.L.[Yu-Lun], Chen, C.P.[Chia-Ping], Chang, Y.L.[Yu-Lin], Pei, S.C.[Soo-Chang],
Explorable Tone Mapping Operators,
ICPR21(10320-10326)
IEEE DOI 2105
Learning systems, Visualization, Imaging, Dynamic range BibRef

Cao, Y.H.[Yu-Hui], Ren, Y.R.[Yu-Rui], Li, T.H.[Thomas H.], Li, G.[Ge],
Over-exposure Correction via Exposure and Scene Information Disentanglement,
ACCV20(IV:407-422).
Springer DOI 2103
BibRef

Zou, J., Mei, K., Sun, S.,
Multi-Scale Video Inverse Tone Mapping with Deformable Alignment,
VCIP20(9-12)
IEEE DOI 2102
Feature extraction, Dynamic range, Visualization, Image reconstruction, Correlation, Training, Telecommunications, deformable convolution BibRef

Teutsch, M., Sedelmaier, S., Moosbauer, S., Eilertsen, G., Walter, T.,
An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping,
PBVS20(488-497)
IEEE DOI 2008
Dynamic range, Loss measurement, Image quality, Cameras, Noise measurement, Standards, Image coding
See also Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment. BibRef

Madmad, T., de Vleeschouwer, C.,
Bilateral Histogram Equalization for X-Ray Image Tone Mapping,
ICIP19(3507-3511)
IEEE DOI 1910
Tone-mapping, high dynamic range, X-ray imaging, bilateral filter, histogram equalization. BibRef

Kang, M., Lee, J.H., Choi, I., Kim, M.H.,
Real-Time HDR Video Tone Mapping Using High Efficiency Video Coding,
ICIP19(4649-4653)
IEEE DOI 1910
BibRef

Xu, Y., Ning, S., Xie, R., Song, L.,
Gan Based Multi-Exposure Inverse Tone Mapping,
ICIP19(1-5)
IEEE DOI 1910
High dynamic range, inverse tone mapping, deep learning, generative adversarial network BibRef

Berg, A., Ahlberg, J., Felsberg, M.,
Generating Visible Spectrum Images from Thermal Infrared,
PBVS18(1224-122409)
IEEE DOI 1812
Visualization, Image color analysis, Gray-scale, Cameras, Convolution, Channel estimation, Semantics BibRef

Liang, Z., Xu, J., Zhang, D., Cao, Z., Zhang, L.,
A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping,
CVPR18(4758-4766)
IEEE DOI 1812
Image edge detection, Visualization, Dynamic range, Lighting, Linear programming, Analytical models, Heuristic algorithms BibRef

Yang, J., Horé, A., Shahnovich, U., Lai, K., Yanushkevich, S.N., Yadid-Pecht, O.,
Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images,
AVSS17(1-6)
IEEE DOI 1806
image colour analysis, image fusion, object detection, MS-Hist algorithm, WDR images, algorithm tone maps pixels, Histograms BibRef

Jung, C., Xu, K.,
Naturalness-preserved tone mapping in images based on perceptual quantization,
ICIP17(2403-2407)
IEEE DOI 1803
Dynamic range, Frequency measurement, Histograms, Image coding, Quantization (signal), Transfer functions, Visual perception, perceptual quantization BibRef

Barai, N.R., Kyan, M., Androutsos, D.,
Human visual system inspired saliency guided edge preserving tone-mapping for high dynamic range imaging,
ICIP17(1017-1021)
IEEE DOI 1803
Feature extraction, Filtering algorithms, Image coding, Image edge detection, Maximum likelihood detection, Tone mapping BibRef

Najaf-Zadeh, H., Budagavi, M., Faramarzi, E.,
VR-HDR: A system for view-dependent rendering of HDR video in virtual reality,
ICIP17(1032-1036)
IEEE DOI 1803
360-degree video, VR+HDR, high dynamic range (HDR), view-dependent tone mapping, virtual reality (VR) BibRef

Eilertsen, G., Mantiuk, R.K., Unger, J.,
Real-time noise-aware tone-mapping and its use in luminance retargeting,
ICIP16(894-898)
IEEE DOI 1610
Distortion BibRef

Wang, X., Jung, C.,
Backlight scaled contrast enhancement for liquid crystal displays using image key-based compression,
VCIP16(1-4)
IEEE DOI 1701
BibRef
Earlier:
Detail-preserving tone mapping for low dynamic range displays with adaptive gamma correction,
VCIP15(1-5)
IEEE DOI 1605
Brightness BibRef

Wang, L., Jung, C.,
Tone-preserving contrast enhancement in images using rational tone mapping and constrained optimization,
VCIP16(1-4)
IEEE DOI 1701
BibRef
Earlier: A2, A1:
Power-constrained backlight scaling using brightness compensated contrast-tone mapping operation,
VCIP15(1-4)
IEEE DOI 1605
Computational complexity Brightness BibRef

Kimura, Y.[Yuta], Ikebe, M.[Masayuki],
Halo control for LHE based local adaptive tone mapping,
ICIP15(3911-3915)
IEEE DOI 1512
gradient reversal LHE: local histogram equalization. BibRef

Granados, M., Aydin, T.O., Tena, J.R., Lalonde, J.F., Theobalt, C.,
Contrast-Use Metrics for Tone Mapping Images,
ICCP15(1-8)
IEEE DOI 1511
image processing BibRef

Banic, N.[Nikola], Loncaric, S.[Sven],
Color Badger: A Novel Retinex-Based Local Tone Mapping Operator,
ICISP14(400-408).
Springer DOI 1406
BibRef
And:
Improving the white patch method by subsampling,
ICIP14(605-609)
IEEE DOI 1502
BibRef
And:
Improving the Tone Mapping Operators by Using a Redefined Version of the Luminance Channel,
ICISP14(392-399).
Springer DOI 1406
Accuracy. BibRef

Iwahashi, M.[Masahiro], Kiya, H.[Hitoshi],
Noise bias compensation of tone mapped noisy image,
ICIP14(2654-2658)
IEEE DOI 1502
Estimation. Noise after tone mapping. BibRef

Hore, A.[Alain], Yadid-Pecht, O.[Orly],
A New Filter for Reducing HALO Artifacts in Tone Mapped Images,
ICPR14(889-894)
IEEE DOI 1412
Dynamic range BibRef

Murofushi, T.[Tatsuya], Dobashi, T.[Toshiyuki], Iwahashi, M.[Masahiro], Kiya, H.[Hitoshi],
An integer tone mapping operation for HDR images in OpenEXR with denormalized numbers,
ICIP14(4497-4501)
IEEE DOI 1502
Dynamic range BibRef

Artusi, A., Akyuz, A.O., Roch, B., Michael, D., Chrysanthou, Y., Chalmers, A.,
Selective local tone mapping,
ICIP13(2309-2313)
IEEE DOI 1402
GPU, Tone mapping, high dynamic range imaging, real-time BibRef

Kovesi, P.,
Phase Preserving Tone Mapping of Non-Photographic High Dynamic Range Images,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Kuo, P.H.[Pin-Hung], Tang, C.S.[Chi-Sun], Chien, S.Y.[Shao-Yi],
Content-adaptive inverse tone mapping,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Kotera, H.[Hiroaki],
Joint Visual Sharpness-Contrast-Tone Mapping Model,
CCIW13(311-323).
Springer DOI 1304
BibRef

Mantiuk, R.[Radoslaw], Markowski, M.[Mateusz],
Gaze-Dependent Tone Mapping,
ICIAR13(426-433).
Springer DOI 1307
BibRef

Gu, H.X.[Hu-Xiang], Wang, Y.[Ying], Xiang, S.M.[Shi-Ming], Meng, G.F.[Gao-Feng], Pan, C.H.[Chun-Hong],
Image Guided Tone Mapping with Locally Nonlinear Model,
ECCV12(IV: 786-799).
Springer DOI 1210

See also Image deblurring with matrix regression and gradient evolution.
See also Efficient Image Dehazing with Boundary Constraint and Contextual Regularization. BibRef

Liu, C.H.[Chun Hung], Au, O.C.[Oscar C.], Cheng, C.H.[Cheuk Hong], Yip, K.Y.[Ka Yue],
Two-level optimized tone mapping for high dynamic range images,
ICIP10(3153-3156).
IEEE DOI 1009
BibRef

Barkowsky, M.[Marcus], Le Callet, P.[Patrick],
On the perceptual similarity of realistic looking tone mapped High Dynamic Range images,
ICIP10(3245-3248).
IEEE DOI 1009
BibRef

Jinno, T.[Takao], Mouri, K.[Kazuya], Okuda, M.[Masahiro],
HDR video tone mapping based on gamma blending,
ICIP10(2521-2524).
IEEE DOI 1009
BibRef

Qiu, G.P.[Guo-Ping], Mei, Y.J.[Yu-Jie], Lam, K.M.[Kin Man], Qiu, M.[Min],
Tone mapping HDR images using optimization: A general framework,
ICIP10(3129-3132).
IEEE DOI 1009
BibRef

Yamauchi, T.[Takuya], Mikami, T.[Toshiaki], Ouda, O.[Osama], Nakaguchi, T.[Toshiya], Tsumura, N.[Norimichi],
Improvement and Evaluation of Real-Time Tone Mapping for High Dynamic Range Images Using Gaze Information,
Gaze10(440-449).
Springer DOI 1109
BibRef

Lu, Z.K.[Zhong-Kang], Rahardja, S.[Susanto],
Realistic HDR tone-mapping based on contrast perception matching,
ICIP09(1789-1792).
IEEE DOI 0911
Human reaction time on local contrast. BibRef

Shimoyama, S.[Sohsuke], Igarashi, M.[Masaki], Ikebe, M.[Masayuki], Motohisa, J.[Junich],
Local adaptive tone mapping with composite multiple gamma functions,
ICIP09(3153-3156).
IEEE DOI 0911
BibRef

Benoit, A.[Alexandre], Alleysson, D.[David], Herault, J.[Jeanny], Le Callet, P.[Patrick],
Spatio-temporal Tone Mapping Operator Based on a Retina Model,
CCIW09(12-22).
Springer DOI 0903
BibRef

Lee, C.[Chul], Kim, C.S.[Chang-Su],
Gradient Domain Tone Mapping of High Dynamic Range Videos,
ICIP07(III: 461-464).
IEEE DOI 0709
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Transform Coding -- General .


Last update:Mar 16, 2024 at 20:36:19