Joint rate-distortion optimization of discrete cosine transform coefficient quantization and disparity field estimation for stereo image coding

Dong-Goo Kang; Rae-Hong Park

doi:10.1117/1.1486000

1 August 2002 Joint rate-distortion optimization of discrete cosine transform coefficient quantization and disparity field estimation for stereo image coding

Dong-Goo Kang, Rae-Hong Park

Author Affiliations +

Optical Engineering, Vol. 41, Issue 8, (August 2002). https://doi.org/10.1117/1.1486000

Disparity-compensated residual coding (DCRC) is the most popular approach to stereo image coding because of its simplicity and good performance. Researches on DCRC have investigated two main topics: quantization of discrete cosine transform (DCT) coefficients and disparity field estimation and compensation. It is shown that quantization problems can be optimized in a rate-distortion (RD) sense under the fixed-disparity constraint and that the RD-optimized disparity field can be obtained under the fixed-quantizer constraint. This paper proposes a technique that jointly optimizes DCT coefficient quantization and disparity field estimation using the three-dimensional Viterbi algorithm with respect to the RD theory under three constraints: epipolar constraint, interblock disparity constraint, and intrablock disparity constraint. The proposed algorithm reduces not only the bit rate of the disparity map but also that of DCT coefficients, leading to performance improvement. Also, it overcomes shortcomings of conventional methods and is well applied to the narrow-angle stereo camera systems. The effectiveness of the proposed algorithm is shown via computer simulations.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Dong-Goo Kang and Rae-Hong Park "Joint rate-distortion optimization of discrete cosine transform coefficient quantization and disparity field estimation for stereo image coding," Optical Engineering 41(8), (1 August 2002). https://doi.org/10.1117/1.1486000

Published: 1 August 2002

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