Title :
A dynamic address-vector quantization algorithm based on inter-block and inter-color correlation for color image coding
Author :
Feng, Yushu ; Nasrabadi, Narsser M.
Author_Institution :
Dept. of Electr. Eng., Worcester Polytech. Inst., MA, USA
Abstract :
The authors extend the A-VQ (address-vector quantization) coding technique to encode RGB (red, green, blue) color images by utilizing the interblock and intercolor correlation. A modified A-VQ technique called dynamic address-vector quantization (DA-VQ) is introduced for encoding of color images. A multilayered address vector quantizer is also introduced, where the code vectors at each layer represent the most probable address combinations of the entries of the address codebook at the previous lower layer. Experimental results show reconstructed images at bit rates of 0.5-0.6 bit per pixel with SNR (signal/noise ratio)=28-31 dB. The resulting bit rate is less than that of a standard VQ coding technique by at least a factor of two
Keywords :
correlation methods; data compression; encoding; picture processing; RGB colour images; SNR; address codebook; dynamic address-vector quantization algorithm; encoding; image coding; inter-block correlation; inter-color correlation; multilayered address vector quantizer; Bit rate; Clustering algorithms; Color; Computer vision; Frequency; Heuristic algorithms; Image coding; Image reconstruction; Image storage; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266789