Entropy Based Cartoon Texture Separation
This is an incremental improvement for image processing tasks, building on Yves Meyer's model.
The paper tackles the problem of separating an image into cartoon and texture components for applications like compression and segmentation, by reconstructing the cartoon part from multi-scale Total-Variation filtered versions using an information-theoretic pixel selection criteria.
Separating an image into cartoon and texture components comes useful in image processing applications, such as image compression, image segmentation, image inpainting. Yves Meyer's influential cartoon texture decomposition model involves deriving an energy functional by choosing appropriate spaces and functionals. Minimizers of the derived energy functional are cartoon and texture components of an image. In this study, cartoon part of an image is separated, by reconstructing it from pixels of multi scale Total-Variation filtered versions of the original image which is sought to be decomposed into cartoon and texture parts. An information theoretic pixel by pixel selection criteria is employed to choose the contributing pixels and their scales.