Title :
Video super-resolution for mixed resolution stereo
Author :
Jain, Anubhav K. ; Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
Mixed resolution stereoscopic coding is a compression method that reduces the bandwidth of stereo video by transmitting one of the two views at a lower resolution. While the visual system weights the sharper view more heavily resulting in a nearly fully sharp 3D percept, certain applications require, or would benefit from, having both views at full resolution. In this paper, we present a super-resolution method that recovers the lost frequency information in mixed resolution stereo video by exploiting stereo correspondence while emphasizing spatial, temporal, and spectral consistency. Our method is distinguished by operating on video modeled as a 3D Markov network, whereas previous approaches focused solely on images.
Keywords :
Markov processes; data compression; stereo image processing; video coding; 3D Markov network; 3D percept; compression method; lost frequency information; mixed resolution stereo video; mixed resolution stereoscopic coding; spatial consistency; spectral consistency; stereo correspondence; temporal consistency; video super-resolution; visual system; Cameras; Markov random fields; Spatial resolution; Three-dimensional displays; Visualization; Spatio-temporal Markov Random Field; binocular suppression; disparity;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738199