Title :
Transform coding of monochrome and color images using trellis coded quantization
Author :
Tong, Kai-Loong ; Marcellin, Michael W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
Summary form only given. Trellis coded quantization (TCQ) is incorporated into a transform coding structure for an average encoding rate of 1 bit/pixel. Both fixed-rate and entropy-constrained TCQ-based systems are investigated. 256×256 pixel, 8-bit gray level images and 24-bit color images are encoded using both TCQ- and scalar quantizer-based schemes to provide comparisons on the basis of peak-signal-to-noise ratio and subjective image quality. Iterative codebook optimization algorithms are used to minimize mean square error in both systems
Keywords :
encoding; entropy; iterative methods; picture processing; transforms; 256 pixels; 65536 pixels; codebook optimization algorithms; colour images; mean square error; monochrome images; peak-signal-to-noise ratio; subjective image quality; transform coding structure; trellis coded quantization; Color; Discrete cosine transforms; Discrete transforms; Image coding; Image quality; Iterative algorithms; PSNR; Pixel; Quantization; Transform coding;
Conference_Titel :
Data Compression Conference, 1991. DCC '91.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-9202-2
DOI :
10.1109/DCC.1991.213307
