Title :
Dynamic codebook adaptive vector quantization for image coding
Author :
Feng, Jian ; Lo, Kwok-Tung
Author_Institution :
Dept. of Electron. Eng., City Univ of Hong Kong, Kowloon, Hong Kong
fDate :
5/1/1999 12:00:00 AM
Abstract :
A new image coding scheme called dynamic codebook adaptive vector quantization (DCAVQ) is proposed. DCAVQ is designed to minimize the transmission overhead and computational complexity of existing adaptive vector quantization systems. Simulation results using real images demonstrate both subjective and objective performance of decoded images are improved using the proposed method. On the other hand, the execution time of the system is being comparable to that of a standard universal VQ system
Keywords :
adaptive codes; computational complexity; image coding; image matching; DCAVQ; computational complexity minimisation; decoded images; dynamic codebook adaptive vector quantization; execution time; image coding; objective performance; pattern matching; real images; simulation results; standard universal VQ system; subjective performance; transmission overhead minimisation; Adaptive coding; Bit rate; Character generation; Image coding; Image reconstruction; Rate-distortion; Statistics; Transform coding; Vector quantization;
Journal_Title :
Consumer Electronics, IEEE Transactions on
