Image coding based on two-channel conjugate vector quantization

Jae Yeal Nam; K. R. Rao

doi:10.1117/12.45407

1 June 1991 Image coding based on two-channel conjugate vector quantization

Jae Yeal Nam, K. R. Rao

Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45407
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

Two channel conjugate VQ (TCCVQ) has been recently proposed for speech coding. Compared to the ordinary VQ, two channel conjugate VQ requires less computational complexity, less storage (memory) requirement and is more robust against channel errors [8], [16], [17]. This technique is now extended to image coding. Initial investigation confirms these advantages of two channel conjugate VQ. For noise free channel the performances of both techniques are similar. However, when channel noise is injected, for the same bit rate, images reconstructed based on two channel conjugate VQ are subjectively more pleasing (less visible distortion) compared to those based on ordinary VQ. Both VQ techniques are also applied to a well known separating mean VQ (SMVQ) [2], [20] and are tested for robustness against channel errors. Computer simulations demonstrate the success of the two channel conjugate VQ technique for image data compression at various bit rates.

Citation Download Citation

Jae Yeal Nam and K. R. Rao "Image coding based on two-channel conjugate vector quantization", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45407

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