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Removing Occlusion in Images using Sparse Processing and Texture Synthesis
2012
International Journal of Computer Science Engineering and Applications
We provide a solution to problem of occlusion in images by removing the occluding region and filling in the gap left behind. Inpainting algorithms fail in filling occlusions when the occluding region is large since there is loss of both structure and texture. We decompose the image into structure and texture images using a decomposition method based on sparseness of the image. The sparse reconstruction of the decomposed images result in an inpainted image with all the structures made intact. A
doi:10.5121/ijcsea.2012.2311
fatcat:eetem24adnbkrkg5z457j6eqx4