Intrinsic Image Decomposition via Structure-Preserving Image Smoothing and Material Recognition.

ABSTRACT: Decoupling shading and reflectance from complex scene-images is a long-standing problem in computer vision. We introduce a framework for decomposing an image into the product of an illumination component and a reflectance component. Due to the ill-posed nature of the problem, prior information on shading and reflectance is mandatory. The proposed method adopts the premise that pixels in a region with similar chromaticity values should have the same reflectance. This assumption was used to minimize the l2 norm of the local per-pixel reflectance gradients to extract the shading and reflectance components. To obtain smooth chromatic regions, texture was treated in a new style. Texture was removed in the first step of the algorithm and the smooth image was processed for intrinsic decomposition

SUBMITTER: Nadian-Ghomsheh A 

PROVIDER: S-EPMC5161468 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature