Title :
An image coding algorithm in the vector transform domain
Author :
Youtkus, Donald J. ; Li, Weiping
Author_Institution :
CSEE Dept., Lehigh Univ., Bethlehem, PA, USA
Abstract :
The authors introduce a new algorithm for coding in the vector transform domain based upon a thresholding technique. First a set of image vectors is transformed into the vector transform domain by using a 2D vector transform. Vector quantization is performed on only those transform domain vectors having a length exceeding a specified threshold value. A general approach to optimizing the threshold map for the human visual system is discussed. Simulation results based on a specific threshold map are presented and compared with those using other techniques
Keywords :
image coding; vector quantisation; 2D vector transform; human visual system; image coding algorithm; image vectors; threshold map; thresholding technique; vector transform domain; Data compression; Discrete cosine transforms; Discrete transforms; Humans; Image coding; Image reconstruction; Pixel; Transform coding; Vector quantization; Visual system;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230503
