Title :
Evaluation of TVQ as an Image Coding Technique
Author :
Shavers, C. ; Li, R.Y.
Author_Institution :
North Carolina A and T State University
Abstract :
We propose an approach to a TVQ-based image coding technique that out performs DCT-based JPEG compression. The approach presented in this paper eliminates the artifacts generated in JPEG compression, and yields higher peak signal-to-noise ratios (PSNR), higher compression ratios (CR), and lower bit rate allocation. Our approach is based on the combined use of the Discrete Cosine Transform (DCT) and Vector Quantization (VQ). This type of image coding is referred to as Transform Vector Quantization (TVQ).
Keywords :
Chromium; Decoding; Discrete cosine transforms; Frequency domain analysis; Image coding; Image reconstruction; PSNR; Signal generators; Transform coding; Vector quantization;
Conference_Titel :
SoutheastCon, 2004. Proceedings. IEEE
Conference_Location :
Greensboro, North Carolina, USA
Print_ISBN :
0-7803-8368-0
DOI :
10.1109/SECON.2004.1287915