Translator Disclaimer
1 June 1991 Image coding based on two-channel conjugate vector quantization
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
Back to Top