PMID: 16519358Mar 8, 2006Paper

Low-rate and flexible image coding with redundant representations

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Rosa M Figueras i VenturaPascal Frossard

Abstract

New breakthroughs in image coding possibly lie in signal decomposition through nonseparable basis functions that can efficiently capture edge characteristics, present in natural images. The work proposed in this paper provides an adaptive way of representing images as a sum of two-dimensional features. It presents a low bit-rate image coding method based on a matching pursuit (MP) expansion, over a dictionary built on anisotropic refinement and rotation of contour-like atoms. This method is shown to provide, at low bit rates, results comparable to the state of the art in image compression, represented here by JPEG2000 and SPIHT, with generally a better visual quality in the MP scheme. The coding artifacts are less annoying than the ringing introduced by wavelets at very low bit rate, due to the smoothing performed by the basis functions used in the MP algorithm. In addition to good compression performances at low bit rates, the new coder has the advantage of producing highly flexible streams. They can easily be decoded at any spatial resolution, different from the original image, and the bitstream can be truncated at any point to match diverse bandwidth requirements. The spatial adaptivity is shown to be more flexible and less ...Continue Reading

References

Mar 15, 2005·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Rahul ShuklaMartin Vetterli
Feb 5, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jean-Luc StarckDavid L Donoho
Jan 1, 1995·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·D L Duttweiler, C Chamzas
Jan 1, 1994·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·D Taubman, A Zakhor

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Citations

Jun 27, 2014·IEEE Transactions on Cybernetics·Alireza Norouzzadeh Ravari, Hamid D Taghirad
May 16, 2009·IEEE Transactions on Pattern Analysis and Machine Intelligence·Effrosyni Kokiopoulou, Pascal Frossard
Nov 30, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Raphaël SoulardChristine Fernandez-Maloigne
Jul 29, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Alireza Shoa, Shahram Shirani
Jul 1, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Ivana Tosic, Pascal Frossard
Aug 15, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jingyu YangQionghai Dai
Aug 21, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Alireza Shoa, Shahram Shirani
Apr 25, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Oscar Divorra EscodaMichel Bierlaire
Dec 29, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Adel RahmounePascal Frossard
Jan 11, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Shogo MuramatsuHisakazu Kikuchi
Dec 30, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Effrosyni KokiopoulouPascal Frossard
Oct 5, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Ivana Tošić, Pascal Frossard
Feb 22, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Vijayaraghavan Thirumalai, Pascal Frossard
Mar 23, 2017·IEEE Transactions on Cybernetics·Leping LinHongxia Hao

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