Title :
Super-resolution for multiview images using depth information
Author :
Garcia, Diogo C. ; Dórea, Camilo ; De Queiroz, Ricardo L.
Author_Institution :
Dept. de Eng. Eletr., Univ. de Brasilia, Brasilia, Brazil
Abstract :
The joint usage of low- and full-resolution images in multiview systems provides an attractive opportunity for data size reduction while maintaining good quality in 3D applications. In this paper we present a novel application of a super-resolution method for usage within a mixed resolution multiview setup. The technique borrows high-frequency content from neighboring full resolution images to enhance particular low-resolution views. Occlusions are handled through matching of low-resolution images. Both the stereo and the more general multiview cases are considered using the multiview video-plus-depth format. Results demonstrate significant gains in PSNR and in visual quality for test sequences.
Keywords :
hidden feature removal; image matching; image resolution; data size reduction; depth information; full-resolution images; image matching; multiview images; multiview video-plus-depth format; occlusions; super-resolution; Cameras; Encoding; Gain; Image coding; Image resolution; PSNR; Three dimensional displays; Mixed Resolution; Multiview Video; Super-resolution;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5651388