DocumentCode :
2072359
Title :
A multiresolution framework for stereoscopic image sequence compression
Author :
Sethuraman, Sriram ; Siegel, M.W. ; Jordan, Angel G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
2
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
361
Abstract :
Stereoscopic sequence compression typically involves the exploitation of the spatial redundancy between the left and right streams to achieve higher compressions than are possible with the independent compression of the two streams. In this paper the psychophysical property of the human visual system, that only one high resolution image in a stereo image pair is sufficient for satisfactory depth perception, has been used to further reduce the bit rates. Thus, one of the streams is independently coded along the lines of the MPEG standards, while the other stream is estimated at a lower resolution from this stream. A multiresolution framework has been adopted to facilitate such an estimation of motion and disparity vectors at different resolutions. Experimental results on typical sequences indicate that the additional stream can be compressed to about one-fifth of a highly compressed independently coded stream, without any significant loss in depth perception or perceived image quality
Keywords :
code standards; image resolution; image sequences; motion estimation; stereo image processing; telecommunication standards; visual perception; MPEG standards; bit rate reduction; depth perception; disparity vector estimation; experimental results; high resolution image; human visual system; image coding; image resolution; motion vector estimation; multiresolution framework; perceived image quality; psychophysical property; spatial redundancy; stereoscopic image sequence compression; Bit rate; Humans; Image coding; Image resolution; Image sequences; MPEG standards; Psychology; Spatial resolution; Streaming media; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413592
Filename :
413592
Link To Document :
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