Optimal optical flow based disparity map estimation for lossless stereo image coding

Amit Kumar K. C.; Rony Darazi; Benoît Macq

doi:10.1117/12.872589

31 January 2011 Optimal optical flow based disparity map estimation for lossless stereo image coding

Amit Kumar K. C., Rony Darazi, Benoît Macq

Proceedings Volume 7882, Visual Information Processing and Communication II; 78820H (2011) https://doi.org/10.1117/12.872589
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

In dependent stereo image compression, the aim is to minimize the bitrate of disparity map and that of residual image. Traditionally, focus has been paid on either disparity map or residual image. In this paper, we compute an optimal disparity map (in terms of bitrates) by jointly exploiting the trade-off between the disparity map and the residual image. Firstly, the dense disparity map is obtained using existing optical flow technique. Secondly, the dense disparity map is quantized using a RD framework. Consequently, the resulting bitrate of the disparity map decreases significantly at the cost of a slight increase of the bitrate of the residual image. As a result, the overall bitrate attains minimum value. The proposed scheme is compatible and can be integrated in JPEG2000 framework.

Citation Download Citation

Amit Kumar K. C., Rony Darazi, and Benoît Macq "Optimal optical flow based disparity map estimation for lossless stereo image coding", Proc. SPIE 7882, Visual Information Processing and Communication II, 78820H (31 January 2011); https://doi.org/10.1117/12.872589

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KEYWORDS

Image compression

Optical flow

Quantization

JPEG2000

Computer programming

Image quality

Image segmentation

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