CVonline: Visual Processing Software and Environments,
CV-OnlineJuly 2001.
HTML Version.
Survey, Systems.
See also University of Edinburgh.
BibRef
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LibTIFF: TIFF Library and Utilities,
Code, Image Processing.
Code, TIFF.
WWW Link.
The Tag Image File Format (TIFF) pages.
The site is now maintained through
See also OSGeo: Open Source Geospatial Foundation.
pbmplus Image File Format Conversion Package,
2001
Code, Image Processing.
PBMPlus.
WWW Link. The standard toolkit for command line conversion of image formats. Everything
to everything else.
IFS: Image File System,
Code, Image Processing.
HTML Version.
Variety of image handling rountines.
From NCSU
ImageMagick,
1999.
Code, Image Processing.
WWW Link. A software suite to create, edit, and compose bitmap images.
Command line and libraries called from your programs.
GNU Image Manipulation Program,
2001
Code, Image Processing.
WWW Link. The GNU based (i.e. free) set of image manipulation programs intended to
compete with the more expensive professional programs. Almost, but not
quite Photoshop.
Skiljan, I.[Irfan],
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Online1996.
Code, Image Processing.
WWW Link. A useful basic image processing tool. Not too fancy, but does a lot
of basic tasks. Includes batch mode processing for a list of files.
BibRef
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2007
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Vendor, Image Enhancement.
Rad Video Tools,
1988.
Code, Video Processing. A package of tools for game developers, but also includes a package of video
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Matrox Imaging,
1995.
WWW Link.
Vendor, Image Processing.
Vendor, Sensors. Image processing systems. Libraries, software and hardware.
RSIP Vision,
2014
Vendor, Image Analysis.
WWW Link.
Supercomputing Systems: Vision,
2000.
Code, Image Processing.
HTML Version. Image processing systems. leanXcam.
Ledley, R.S.,
Jacobsen, J.,
Belson, M.,
BUGSYS: A Programming System for Picture Processing --
Not for Debugging,
CACM(9), No. 1, January 1966, pp. 79-84.
BibRef
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Kanade, T.,
Nagao, M.,
Ohta, Y.,
Picture Processing System Using a Computer Complex,
CGIP(2), 1973, pp. 207-215.
BibRef
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Ohta, Y.,
Picture Processing Laboratory and Its Applications,
IFIP74(738-742).
BibRef
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Masui, S.,
Fukunaga, Y.,
An Interactive Picture Processing System on a Minicomputer,
ICPR74(148-149).
BibRef
7400
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A New Computer Language for Electron Image Processing,
CGIP(3), No. 3, September 1974, pp. 266-276.
Elsevier DOI
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An Interactive Image Processing System,
PAMI(3), No. 1, January 1981, pp. 95-101.
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Computer Editing of News Photos,
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Interactive Image Processing in an Multiuser Environment,
CSIP83(113-121).
BibRef
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Fast In-Place Processing of Pictorial Data,
PDA83(43-68).
BibRef
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Progress in Image Processing Languages,
ISPDSA83(195-211).
BibRef
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Haralick, R.M.[Robert M],
An Operating System Interface for Transportable
Image Processing Software,
CVGIP(23), No. 1, July 1983, pp. 42-66.
Elsevier DOI
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8307
Krusemark, S.[Scott],
Haralick, R.M.[Robert M],
Image Random File Access Routines,
CVGIP(23), No. 3, September 1983, pp. 239-257.
Elsevier DOI
BibRef
8309
Stevens, R.J.,
Alexander, S.T.,
Image Processing Software Portability Using a Conceptual Frame Store,
PRL(1), 1983, pp. 359-364.
BibRef
8300
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Maisonneuve, F.,
Geodesic Methods in Quantitative Image Analysis,
PR(17), No. 2, 1984, pp. 177-187.
Elsevier DOI
0309
BibRef
Earlier:
PR(16), No. 3, 1983, pp. 358.
Elsevier DOI
0309
BibRef
Lay, B., and
Lantuejoul, C.,
Morpholog: A Software Package for the Quantitative Image Analysis,
Draft1983.
Morphology. A system that uses Mathematical Morphology for image analysis.
Not much other than morphology.
BibRef
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Bernstein, R.,
Image Processing on the IBM Personal Computer,
PIEEE(73), 1985, pp. 1064-1070.
BibRef
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Gini, M.[Maria],
A Software Laboratory for Visual Inspection and Recognition,
PR(18), No. 1, 1985, pp. 43-51.
Elsevier DOI
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Hamey, L.G.C.[Leonard G.C.],
Webb, J.A.[Jon A.],
Wu, I.C.[I Chen],
An Architecture Independent Programming Language for Low-Level Vision,
CVGIP(48), No. 2, November 1989, pp. 246-264.
Elsevier DOI
System: APPLY. The apply system originally developed for the Warp.
BibRef
8911
Webb, J.A.,
High Performance Computing in Image Processing and Computer Vision,
ICPR94(C:218-222).
IEEE DOI
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9400
Webb, J.A.,
Adapt: Global Image Processing with the Split and Merge Model,
CMU-CS-TR-91-129, CMU CS Dept., April 1991.
PS File. Local and global processing, divide into smaller areas, etc.
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Webb, J.A.,
Steps Toward Architecture-Independent Image Processing,
Computer(25), No. 2, February 1992, pp. 21-31.
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Architecture-Independent Global Image Processing,
ICPR90(II: 623-628).
IEEE DOI Adapt is a language for efficient parallel
computation for image processing algorithms.
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Wallace, R.S.[Richard S.],
Webb, J.A.[Jon A.],
Wu, I.C.[I Chen],
Machine-Independent Image Processing:
Performance of Apply on Diverse Architectures,
CVGIP(48), No. 2, November 1989, pp. 265-276.
Elsevier DOI
Benchmarks.
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Image processing by software parallel computation,
IVC(7), No. 2, May 1989, pp. 122-128.
Elsevier DOI
0401
BibRef
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Mason, D.C.,
Handley, N.,
Johnson, D.G.,
Jones-Parry, I.H.,
Oddy, C.J.,
Pike, T.K.,
Plassard, T.,
Rye, A.J.,
de Salabert, A.,
Serpico, B.,
Wielogorski, A.L.,
Musip Multi-Sensor Image Processing System,
IVC(10), No. 9, November 1992, pp. 589-609.
Elsevier DOI
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9211
Wada, B.T.[Ben Tsutom],
A Virtual Memory System for Picture Processing,
CACM(27), No. 5, May 1984, pp. 444-454.
Analysis and implementation of a paging system for an image package.
What are the effects of different sizes of the page working set, etc.?
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8405
Landy, M.S.[Michael S.],
Cohen, Y.[Yoav], and
Sperling, G.[George],
HIPS: A Unix-Based Image Processing System,
CVGIP(25), No. 3, March 1984, pp. 331-347.
Elsevier DOI
Code, Image Processing.
HTML Version.
BibRef
8403
And:
HIPS: Image Processing Under UNIX. Software and Applications,
BehResMeth(16), No. 2, 1984, pp. 199-216.
The system is commercially available.
BibRef
Landy, M.S.[Michael S.],
HIPS-2 Software for Image Processing: Goals and Directions,
SPIE(1964), 1993, pp. 382-391.
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Manovich, L.Z.[Lev Z.],
Stetten, G.D.[George D.],
EVE: Software for Visual Modeling,
TRNYU, Psychology, TR 88-12, 1988.
Simulation of early vision processing.
BibRef
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Tamburo, R.J.[Robert J.],
Stetten, G.D.[George D.],
Gradient-oriented Profiles For Boundary Parameterization and Their
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IJIG(1), No. 4, October 2001, pp. 659-680.
0110
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Cois, C.A.,
Rockot, K.,
Galeotti, J.,
Tamburo, R.J., and
Stetten, G.D.,
Shells and Spheres: A Framework for Variable Scale
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CMU-RI-TR-04-19, April, 2006.
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Image Processing on the Macintosh,
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Delp, E.J.,
Wang, C.,
Li, J.,
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BibRef
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Tamura, H.[Hideyuki],
Sakane, S.[Shigeyuki],
Tomita, F.[Fumiaki],
Yokoya, N.[Naokazu],
Kaneko, M.[Masahide],
Sakaue, K.[Katsuhiko],
Design and Implementation of SPIDER:
A Transportable Image Processing Software Package,
CVGIP(23), No. 3, September 1983, pp. 273-294.
Elsevier DOI
System: Spider.
BibRef
8309
Earlier: A1, A3, A2, A4, A6, A5:
A Transportable Image Processing Software System: SPIDER,
ICPR82(75-78).
BibRef
Laboratory, E.[Electrotechnical],
Spider
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TRJoint System Development Corp., 1983.
Electrotechnical Laboratory.
Japan. Software for Image processing
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Gipsy: General Image Processing System,
TR1983.
Intelligent Systems Laboratory, University Of Washington.
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Coordinated system of 200+ programs written in Fortran.
BibRef
8300
Haralick, R.M.,
GIPSY Users' Manual,
TR1983, Spatial Data Analysis Laboratory, Virginia Polytechnic Inst. and State Univ., Blacksburg. VA.
BibRef
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Groningen Image Processing System, GIPSY,
TR1992.
WWW Link.
System: Gipsy.
Code, Image Processing. There are 2 systems by the same name. They are different.
BibRef
9200
van der Hulst, J.M.,
Terlouw, J.P.,
Begeman, K.,
Zwitser, W., and
Roelfsema, P.R.,
The Groningen Image Processing System, GIPSY,
ASP Conf(25), 1992, pp. 131.
Astronomical Data Analysis Software and Systems I.
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Terlouw, J.P.,
The Evolution of GIPSY, or the Survival of an Image Processing System,
ASP Conf(238), 2001, pp. 358.
Astronomical Data Analysis Software and Systems X
PS File.
PDF File.
WWW Link.
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Vista: A Software Environment for Computer Vision Research,
CVPR94(768-772).
IEEE DOI
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Code, Image Analysis.
HTML Version.
BibRef
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Sato, H.,
Okazaki, H.,
Kawai, T.,
Yamamoto, H., and
Tamura, H.,
The VIEW-Station Environment: Tools and Architecture
for a Platform-Independent Image-Processing Workstation,
ICPR90(II: 576-583).
IEEE DOI
BibRef
9000
Repo, T.,
Roning, J.,
Modeling structured environments by a single moving camera,
3DIM99(340-347).
IEEE DOI
9910
BibRef
Pietikainen, M.[Matti],
Roning, J.[Juha], and
Silven, O.[Olli],
An Image Analysis System for Industrial Applications,
Dept. of EE,
Univ. of OuluSF-90570 Oulu 57, Finland, 1982.
A micro based image analysis system, frame buffer, digitizer, robot
interface (thresholded - primarily binary images for speed).
BibRef
8200
Bracho, R.[Rafael],
Schlag, J.F.[John F.], and
Sanderson, A.C.[Arthur C.],
POPEYE: A Gray-Level Vision System for Robotics Applications,
CMU-RI-TR-83-6, 1983, CMU Robotics Institute.
A simple 68000 based vision oriented system (before the SUN implementation so
there are similarities and differences).
BibRef
8300
Guzman-Arenas, A.[Adolfo], and
Segovia, R.[Raymundo],
A Parallel Configurable Lisp Machine,
UNAMVol. 7, 1976, no. 133, Serie Naranja: Investigaciones, IIMAS,
Mexico City.
BibRef
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Vuylsteke, P., and
Oosterlinck, A.,
Range Image Acquisition with a Single Binary-Encoded Light Pattern,
PAMI(12), No. 2, February 1990, pp. 148-164.
IEEE DOI
BibRef
9002
Koelma, D.C.[Dennis C.],
Smeulders, A.W.M.[Arnold W.M.],
Visual Programming Interface for an Image-Processing Environment,
PRL(15), No. 11, November 1994, pp. 1099-1109.
BibRef
9411
Koelma, D.C.[Dennis C.],
Smeulders, A.W.M.[Arnold W.M.],
An image processing library based on abstract image data-types in C++,
CIAP95(96-102).
Springer DOI
9509
BibRef
Whittenburg, T.,
Photo-Based 3D Graphics in C++:
Compositing, Warping, Morphing, and Other Digital Special Effects,
John
Wiley& Sons, 1995, ISBN 0-471-04972-7.
Code, Image Processing.
Code, Image Processing, C++. Contains a disk with the programs.
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Spiliotis, I.M.,
Mertzios, B.G.,
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9702
Data Structures.
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Real-time computation of two-dimensional moments on binary images using
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IP(7), No. 11, November 1998, pp. 1609-1615.
IEEE DOI
BibRef
9811
Dobie, M.R.,
Lewis, P.H.,
Data Structures for Image Processing in C,
PRL(12), 1991, pp. 457-466.
Code, Image Processing.
Code, Image Processing, C.
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9100
Ten Kate, T.K.,
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Smeulders, A.W.M.,
Groen, F.C.A.,
den Boer, G.A.,
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van Balen, R.,
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IEEE DOI
9410
BibRef
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Taylor, C.J.,
Cooper, D.H.,
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A Compact Set of Image Processing Primitives and Their Role
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9704
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Optimal Cache Usage for Separable Image-Processing Algorithms on
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A series of measurement tests with different non-metric images were
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0102
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DOI Link
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Paulus, D.,
Hornegger, J., and
Niemann, H.,
Software Engineering for Image Processing and Analysis,
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PS File.
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ter Haar Romeny, B.M.[Bart M.],
Front-End Vision and Multi-Scale Image Analysis: Multi-scale
Computer Vision Theory and Applications, Written in Mathematica,
KluwerAugust 2003.
ISBN 1-4020-1507-0.
WWW Link.
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Neill, C.J.[Colin J.],
Leveraging object-orientation for real-time imaging systems,
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Elsevier DOI
0401
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Akopyan, S.,
DeBaca, R.C.,
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McDuffie, J.,
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0605
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1205
Neighborhood traversal; Boundary condition; Image processing; Image
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Image processing library
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1404
cache storage
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1608
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Leitão, P.J.[Pedro J.],
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sgdm: An R Package for Performing Sparse Generalized Dissimilarity
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IJGI(6), No. 1, 2017, pp. xx-yy.
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Skibbe, H.[Henrik],
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1706
Code, Tensor Algebra. For processing 3D data.
BibRef
Guimarães, N.[Nathalie],
Pádua, L.[Luís],
Adão, T.[Telmo],
Hruška, J.[Jonáš],
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Jørgensen, J.S.,
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Papoutsellis, E.[Evangelos],
Ametova, E.[Evelina],
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Fardell, G.[Gemma],
Jørgensen, J.S.[Jakob S.],
Pasca, E.[Edoardo],
Turner, M.[Martin],
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Lionheart, W.R.B.[William R. B.],
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Proshin, A.[Andrey],
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Bartalev, S.[Sergey],
Konstantinova, A.[Anna],
Kobets, D.[Dmitriy],
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A Scalable Computing Resources System for Remote Sensing Big Data
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2202
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Mao, Y.W.[Yi-Wei],
Betters, C.H.[Christopher H.],
Evans, B.[Bradley],
Artlett, C.P.[Christopher P.],
Leon-Saval, S.G.[Sergio G.],
Garske, S.[Samuel],
Cairns, I.H.[Iver H.],
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2205
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2206
strategies for optimizing the performance of many binary image
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Image processing, Decision trees, Labeling, Task analysis,
Prediction algorithms, Graphics processing units, graphgen, chain-code
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Liu, C.Q.[Chang-Qing],
Wu, Z.C.[Zhong-Chen],
Fu, X.H.[Xiao-Hui],
Liu, P.[Ping],
Xin, Y.Q.[Yan-Qing],
Xiao, A.[Ayang],
Bai, H.C.[Hong-Chun],
Tian, S.K.[Shang-Ke],
Wan, S.[Sheng],
Liu, Y.H.[Yi-Heng],
Ju, E.[Enming],
Jin, G.B.[Guo-Bin],
Lu, X.J.[Xue-Jin],
Qi, X.B.[Xia-Bin],
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A Martian Analogues Library (MAL) Applicable for Tianwen-1
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2206
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Aghababaei, M.[Masoumeh],
Ebrahimi, A.[Ataollah],
Naghipour, A.A.[Ali Asghar],
Asadi, E.[Esmaeil],
Pérez-Suay, A.[Adrián],
Morata, M.[Miguel],
Garcia, J.L.[Jose Luis],
Caicedo, J.P.R.[Juan Pablo Rivera],
Verrelst, J.[Jochem],
Introducing ARTMO's Machine-Learning Classification Algorithms
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2209
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Han, Q.[Qing],
Ren, X.B.[Xue-Bin],
Zhao, P.[Peng],
Wang, Y.M.[Yi-Meng],
Wang, L.[Luhui],
Zhao, C.[Cong],
Yang, X.Y.[Xin-Yu],
ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System,
IEEE_Int_Sys(38), No. 1, January 2023, pp. 34-44.
IEEE DOI
2303
Image edge detection, Servers, Collaboration, Cloud computing,
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PIEEE(111), No. 5, May 2023, pp. 445-464.
IEEE DOI
2306
Software defined networking, Image sensors, Photography, Software,
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Training, Image coding, Machine vision, Scalability, Redundancy,
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Training, Deep learning, Neural networks, Predictive models,
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CVPR22(21361-21366)
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2210
Training, Computational modeling, Machine learning, Transformers,
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CVPR22(21384-21392)
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Training, Technological innovation, Satellites,
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8700
Poole, I.,
Charleston, D.,
Formal specification of image processing primitives in a functional
language,
ICPR94(A:539-542).
IEEE DOI
9410
BibRef
Poole, I.,
A Functional Programming Environment for Image Analysis,
ICPR92(IV:124-127).
IEEE DOI
BibRef
9200
Kozato, Y.,
Otto, G.P.,
Geometric transformations in a lazy functional language,
ICPR92(IV:128-132).
IEEE DOI
9208
BibRef
Leite, N.J.[Neucimar J.],
Bertrand, G.[Gilles],
A parallel image processing language based on computational models,
ICPR92(IV:181-184).
IEEE DOI
9208
BibRef
Dougherty, E.R.,
Sehdev, P.,
A Robust Image Processing Language in the Context of Image Algebra,
CVPR88(748-753).
IEEE DOI
BibRef
8800
Dougherty, E.R.,
Giardina, C.R.,
Closed-Form Representation of Convolution, Dilation, and Erosion in the
Context of Image Algebra,
CVPR88(754-759).
IEEE DOI
BibRef
8800
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Real-Time Systems, Architecture, Hardware Issues for Vision .