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Dominique Brunet

Researcher at University of Waterloo

Publications -  18
Citations -  735

Dominique Brunet is an academic researcher from University of Waterloo. The author has contributed to research in topics: Image quality & Image restoration. The author has an hindex of 12, co-authored 18 publications receiving 592 citations. Previous affiliations of Dominique Brunet include Environment Canada & Laval University.

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Journal ArticleDOI

On the Mathematical Properties of the Structural Similarity Index

TL;DR: A series of normalized and generalized metrics based on the important ingredients of SSIM are constructed and it is shown that such modified measures are valid distance metrics and have many useful properties, among which the most significant ones include quasi-convexity, a region of convexity around the minimizer, and distance preservation under orthogonal or unitary transformations.
Journal ArticleDOI

SSIM-inspired image restoration using sparse representation

TL;DR: This work makes one of the first attempts to employ structural similarity (SSIM) index, a more accurate perceptual image measure, by incorporating it into the framework of sparse signal representation and approximation, and develops a gradient descent algorithm to achieve SSIM-optimal compromise in combining the input and sparse dictionary reconstructed images.
Book ChapterDOI

The Use of Residuals in Image Denoising

TL;DR: It is shown that well-known full-reference image quality measures can be estimated from the residual image without the reference image, and a procedure is proposed that has the potential to enhance the image quality of given image denoising algorithms.
Book ChapterDOI

Structural similarity-based approximation of signals and images using orthogonal bases

TL;DR: This work examines the problem of best approximation of signals and images by maximizing the SSIM between them, and examines a very simple algorithm to maximize SSIM with a constrained number of basis functions.