Image decomposition into cartoon and texture patterns plays an important role in high definition image processing.
In order to improve the definition of an image or a video, consider
(a) decomposing the image into smooth/texture components,
(b) enhancing every component separately and then
(c) fusing the enhanced results.
This yields high quality images and videos, even for images issued from a low definition camera.
How to perform cartoon-texture decomposition?
[Atto & Mercier, 2015]
provides functional objectives that operate structural image decomposition associated with sharp cartooning effect (piecewise smooth fields separated by 2D curves) and rich textural information (sparse variation fields).
In addition with the image definition improvment (enhancing separately cartoon and texture features), cartoon-versus-texture decomposition issue is another way of addressing image compression problem: cartoon is highly compressible (sparse in the wavelet domain) whereas texture compressibility depends only on texture richness ('Disney' texture is more sparse than 'Iguana' texture).