Title :
Stereo video deraining and desnowing based on spatiotemporal frame warping
Author :
Jin-Hwan Kim ; Jae-Young Sim ; Chang-Su Kim
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
A novel rain (or snow) streak removal algorithm for stereo video sequences is proposed in this work. We observe that rain streaks appear at different locations in spatiotemporally adjacent frames. Thus, to derain a left-view frame, we synthesize it by warping the spatially adjacent right-view frame and the temporally previous and next frames, respectively. We subtract each warped frame from the original frame, and apply the median filter to the three difference images to obtain a reliable rain mask. Then, we remove rain streaks by replacing each rainy pixel value with a weighted average of non-locally neighboring pixel values. Experimental results demonstrate that the proposed algorithm removes rain streaks reliably and recovers original scene contents faithfully.
Keywords :
image sequences; median filters; stereo image processing; video signal processing; median filter; pixel value; spatiotemporal frame warping; spatiotemporally adjacent frames; stereo video deraining; stereo video sequences; streak removal algorithm; warped frame; Estimation; Integrated optics; Optical imaging; Rain; Snow; Spatiotemporal phenomena; Vectors; Video enhancement; deraining; frame warping; nonlocal means filtering; stereo deraining;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7026099