Synthesis-guided depth super resolution

Author

Huijin Lv ; Yongbing Zhang ; Kai Li ; Xingzheng Wang ; Huiming Xuan ; Qionghai Dai

Author_Institution

Shenzhen Key Lab. of Broadband Network & Multimedia, Tsinghua Univ., Shenzhen, China

fYear

2014

Firstpage

125

Lastpage

128

Abstract

Depth map, as important auxiliary information in 3D procession, is used to synthesize virtual view rather than exhibition. Inspired by this, a synthesis-guided depth super resolution (SGDSR) algorithm is proposed. Employing the synthesis error between virtual view and corresponding original one as the criteria, the best super-resolved result is selected among numerous candidate super resolution (SR) results. To fully exploit varying property within different regions of an image, a patch-based SGDSR is further devised in this paper. Experimental results demonstrate the effectiveness of our method subjectively and objectively on both single view and two views platform based on depth-image-based rendering (DIBR).

Keywords

image enhancement; image resolution; rendering (computer graphics); 3D procession; DIBR; SGDSR algorithm; depth-image-based rendering; patch-based SGDSR; synthesis error; synthesis-guided depth super resolution; virtual view; Educational institutions; Image edge detection; Image resolution; Joints; PSNR; Rendering (computer graphics); Three-dimensional displays; Super resolution; depth map; depth-image-based rendering; synthesis-guided; view synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Visual Communications and Image Processing Conference, 2014 IEEE

Type

conf

DOI

10.1109/VCIP.2014.7051520

Filename

7051520