Image filling-in in a decomposition space

An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and then reconstruct each one of these functions separately with structure and texture filling-in algorithms. The first function used in the decomposition is of bounded variation, representing the underlying image structure, while the second function captures the texture and possible noise. The region of missing information in the bounded variation image is reconstructed using image inpainting algorithms, while the same region in the texture image is filledin with texture synthesis techniques. The original image is then reconstructed adding back these two sub-images. The novel contribution of this paper is then in the combination of these three previously developed components, image decomposition with inpainting and texture synthesis, w...

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: Marcelo Bertalmío, Luminita A. Vese, Guillermo Sapiro, Stanley Osher
• Keywords: ICIP 2003, Image Inpainting Algorithms, Image Processing, Original Given Image, Texture Filling-in Algorithms, Texture Image, Texture Synthesis Techniques