Image Compression Through a Projection onto a Polyhedral Set

Author: Malgouyres, F.

Source: Journal of Mathematical Imaging and Vision, Volume 27, Number 2, February 2007 , pp. 193-200(8)

Publisher: Springer

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Abstract:

In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization). However, despite the well-known links between image denoising and image compression when solved with wavelet-like approaches, these hybrid image denoising methods have not found counterparts in image compression. This is the gap that this paper aims at filling. To do so, we provide a generalization of the standard image compression model. However, important numerical limitations still need to be addressed in order to make such models practical.

Document Type: Research article

DOI: http://dx.doi.org/10.1007/s10851-006-9000-x

Publication date: 2007-02-01