Title :
Color image-sequence compression using adaptive binary-tree vector quantization with codebook replenishment
Author_Institution :
Kodak Research Laboratories, Rochester, NY
Abstract :
We present a new adaptive vector-quantization scheme with codebook replenishment for color image-sequence compression in this paper. This scheme uses mean/residual vector quantization with binary-tree search algorithm to vector-quantize the Y component and the low-passed I and Q components of color images. It also incorporates an objective criteria for codebook replenishment. The mean and label replenishment technique is also applied to further reduce the bit-rate. Computer simulations on two 60-frame, 512 × 512 color image-sequences have demonstrated the effectiveness of the proposed technique.
Keywords :
Color; Computer simulation; Decoding; Image coding; Image reconstruction; Laboratories; Pixel; Statistics; Sun; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169776