Title :
Highlight removal by illumination-constrained inpainting
Author :
Tan, Ping ; Lin, Stephen ; Quan, Long ; Shum, HeungYeung
Abstract :
We present a single-image highlight removal method that incorporates illumination-based constraints into image inpainting. Unlike occluded image regions filled by traditional inpainting, highlight pixels contain some useful information for guiding the inpainting process. Constraints provided by observed pixel colors, highlight color analysis and illumination color uniformity are employed in our method to improve estimation of the underlying diffuse color. The inclusion of these illumination constraints allows for better recovery of shading and textures by inpainting. Experimental results are given to demonstrate the performance of our method.
Keywords :
computer vision; image colour analysis; image texture; highlight color analysis; illumination color uniformity; illumination-based constraints; image inpainting; image shading; image texture; inpainting process; occluded image regions; pixel colors; single image highlight removal method; Colored noise; Histograms; Image color analysis; Lighting; Optical polarization; Optical reflection; Rough surfaces; Shape measurement; Surface fitting; Surface roughness;
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
DOI :
10.1109/ICCV.2003.1238333