Title :
Light field compression using homography and 2D warping
Author_Institution :
Sch. of Med., Univ. of Pittsburgh, Pittsburgh, PA, USA
Abstract :
This paper describes a new method for light field compression that exploits inter-view correlation. The proposed method uses homography and 2D warping to predict views and does not require additional camera parameters or a 3D geometry model. The method utilizes angular shift between views, which is neglected in conventional motion compensation methods. Results indicate improved coding efficiency of the proposed method over traditional motion compensation schemes. A full light field coder based on video-compression demonstrates 1-1.5 dB additional improvement in PSNR, or equivalently a 4-12% additional reduction in bitrate when the new method is introduced as a prediction mode.
Keywords :
correlation methods; data compression; geometry; video coding; 2D warping; PSNR; angular shift; bitrate; coding efficiency; homography; interview correlation; light field coder; light field compression; video-compression; Bit rate; Cameras; Gain; Image coding; Image reconstruction; Motion compensation; PSNR; 2D warping; Compression; Homography; Inter-view prediction; Light field;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288140