Title :
Adaptive entropy-constrained residual vector quantization
Author :
Kossentini, Faouzi ; Smith, Mark J T
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Entropy-constrained residual vector quantization (EC-RVQ) is a relatively new VQ method that was shown to be capable of excellent rate-distortion performance. The paper investigates the incorporation of adaptivity into the EC-RVQ framework for application to image coding. Experimental results show that the dynamic nature of the implementation leads to a noticeable improvement in coding quality as well as improved robustness.<>
Keywords :
adaptive systems; entropy; image coding; vector quantisation; EC-RVQ; VQ method; adaptive entropy-constrained residual vector quantization; coding quality; image coding; rate-distortion performance; robustness; Algorithm design and analysis; Bit rate; Design optimization; Entropy; Image coding; Iterative algorithms; Lagrangian functions; Rate-distortion; Robustness; Vector quantization;
Journal_Title :
Signal Processing Letters, IEEE
