*Vrscay, E.R.[Edward R.]*
**Co Author Listing** * Adaptive Windowing for Optimal Visualization of Medical Images Based on a Structural Fidelity Measure

* Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization

* Class of Image Metrics Based on the Structural Similarity Quality Index, A

* Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections, A

* Continuous Evolution of Fractal Transforms and Nonlocal PDE Imaging

* Coupled multi-frame super-resolution with diffusive motion model and total variation regularization

* Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD) Algorithm for Image Analysis, A

* Direct Estimation of Biological Growth Properties from Image Data Using the GRID Model

* Discrete Orthonormal Stockwell Transform and Variations, with Applications to Image Compression, The

* Elastography of Biological Tissue: Direct Inversion Methods That Allow for Local Shear Modulus Variations

* Examination of Several Methods of Hyperspectral Image Denoising: Over Channels, Spectral Functions and Both Domains, An

* Examining the Role of Scale in the Context of the Non-Local-Means Filter

* Existence, Uniqueness and Asymptotic Behaviour of Intensity-Based Measures Which Conform to a Generalized Weber's Model of Perception

* Fractal Image Coding as Projections Onto Convex Sets

* Fractal image denoising

* Fractal-wavelet image denoising

* Fractal-Wavelet Image Denoising Revisited

* Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI

* Hyperspectral Images as Function-Valued Mappings, Their Self-similarity and a Class of Fractal Transforms

* Image Denoising Using Euler-Lagrange Equations for Function-Valued Mappings

* Image sampling by hierarchical annealing

* Interpolative Scheme for Fractal Image Compression in the Wavelet Domain, An

* Iterated Fourier Transform Systems: A Method for Frequency Extrapolation

* Mathematical Analysis of Phase Ramping for Super-Resolution Magnetic Resonance Imaging

* Max and Min Values of the Structural Similarity Function S(x,a) on the L2 Sphere SR(a), a ? RN

* Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images

* Modelling of Subjective Radiological Assessments with Objective Image Quality Measures of Brain and Body CT Images

* Mutual Information-Based Methods to Improve Local Region-of-Interest Image Registration

* New Computational Methods for the Construction of Darcyan Biological Coordinate Systems

* Objective Image Quality Measures of Degradation in Compressed Natural Images and their Comparison with Subjective Assessments

* On the Mathematical Properties of the Structural Similarity Index

* Parameterized Hierarchical Annealing for Scientific Models

* Perceptual Colour Difference Uniformity in High Dynamic Range and Wide Colour Gamut

* Reconstruction of HARDI Data Using a Split Bregman Optimization Approach

* Self-similarity of Images in the Fourier Domain, with Applications to MRI

* Self-similarity of Images in the Wavelet Domain in Terms of L2 and Structural Similarity (SSIM)

* Simple, General Model for the Affine Self-similarity of Images, A

* Solving the Inverse Problem of Image Zooming Using Self-Examples

* Some Weberized L2-Based Methods of Signal/Image Approximation

* Structural Similarity-Based Affine Approximation and Self-similarity of Images Revisited

* Structural Similarity-Based Approximation of Signals and Images Using Orthogonal Bases

* Structural Similarity-Based Approximation over Orthogonal Bases: Investigating the Use of Individual Component Functions Sk(x,y)

* Structural Similarity-Based Optimization Problems with L1-Regularization: Smoothing Using Mollifiers

* Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance

* Total Variation Minimization for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation

* Unconstrained Structural Similarity-Based Optimization

* Use of Intensity-Based Measures to Produce Image Function Metrics Which Accommodate Weber's Models of Perception, The

* Use of Residuals in Image Denoising, The

* Variation of Perceived Colour Difference Under Different Surround Luminance

* Wavelet Image Denoising Using Localized Thresholding Operators

Includes: Vrscay, E.R.[Edward R.] Vrscay, E.R.

50 for Vrscay, E.R.

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