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Journal Articles IEEE Journal of Selected Topics in Signal Processing Year : 2011

A Review of Adaptive Image Representations


Improving the modeling of natural im- ages is important to go beyond the state of the art for many image processing tasks such as compression, denoising, inverse problems and texture synthesis. Natural images are composed of intricate patterns such as regular areas, edges, junctions, oriented os- cillations and textures. Processing efficiently such a wide range of regularities requires methods that are adaptive to the geometry of the image. This adap- tivity can be achieved using sparse representations in a redundant dictionary. The geometric adaptivity is important to search for efficient representations in a structured dictionary. Another way to capture this geometry is through non-local interactions be- tween patches in the image. The resulting non-local energies can be used to perform an adaptive im- age restoration. This paper reviews these emerging technics and shows the interplay between sparse and non-local regularizations.
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hal-00519525 , version 1 (20-09-2010)


  • HAL Id : hal-00519525 , version 1


Gabriel Peyré. A Review of Adaptive Image Representations. IEEE Journal of Selected Topics in Signal Processing, 2011, 5 (5), pp.896-911. ⟨hal-00519525⟩
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