On the compression of stereo images: Preliminary results

Abstract An approach to stereo image compression based on disparity compensation is proposed and evaluated. The new compression scheme is motivated by the suppression theory in human vision. A methodology for evaluating compressed stereo images is proposed. It is based on response time measurements of depth perception tasks performed by human subjects. Subjects taking part in the experiment were exposed to displays of stereo images, some of which had been compressed, and were asked to judge the relative depth within each display as fast as possible. Decision times were measured and employed as the major dependent variable. It was shown that very deep compression of one of the images of a stereo pair does not interfere with the perception of depth in the stereo image pair.

[1]  William K. Pratt,et al.  Scene Adaptive Coder , 1984, IEEE Trans. Commun..

[2]  M. Kunt,et al.  Second-generation image-coding techniques , 1985, Proceedings of the IEEE.

[3]  Peter No,et al.  Digital Coding of Waveforms , 1986 .

[4]  J. Roese,et al.  Interframe Cosine Transform Image Coding , 1977, IEEE Trans. Commun..

[5]  Ram Srinivasan,et al.  Motion-Compensated Coder for Videoconferencing , 1987, IEEE Trans. Commun..

[6]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[7]  Anil K. Jain,et al.  Image data compression: A review , 1981, Proceedings of the IEEE.

[8]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[9]  L. Kaufman Sight and mind : an introduction to visual perception , 1974 .

[10]  A.N. Netravali,et al.  Picture coding: A review , 1980, Proceedings of the IEEE.