Natural Image Matting Based on Normalized User Input Space
Qiu Jia-h · Jisuanji fangzhen · 2013
A concept was proposed: Normalized User Input Space(NUIS),and a matting algorithm based on NUIS(NUIS-Matting) was proposed for reducing the sensitivity of matting algorithm to user input.The origin image was oversegmented into superpixels and an alpha term for them was introduced to improve the anti-noise ability of the algorithm.Then,NUIS was constructed with superpixels and the user input was mapped to NUIS.Foreground and background colors were sampled in NUIS with a more effective method to compute the alpha values and confidences for unknown pixels.Alpha values which had the high confidences were picked to form the initial alpha matte.Finally,a graph labeling problem was solved as a Random Walk and the optimized matte was got.The experimental results show that the approach has greatly reduced the sensitivity of matting problem to user input and has improved the quality of matting result.