Title :
Image compression with visual features using wavelets
Author :
Yao, S. ; Clarke, R.J.
Author_Institution :
Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
Abstract :
There has recently been increasing interest in the development of multiscale image coding algorithms which can easily generate image data, efficiently coded, at a variety of resolution levels. In this paper we consider the application of the wavelet transform for this purpose, whilst taking into account the properties of the human visual system (HVS), and present results for both still images and videotelephone-type image sequences
Keywords :
data compression; image coding; image sequences; videotelephony; visual perception; wavelet transforms; human visual system; image compression; image data; image resolution levels; multiscale image coding algorithms; still images; videotelephone image sequences; visual features; wavelet transform; Bit rate; Data compression; Humans; Image coding; Image resolution; Image storage; Signal resolution; Spatial resolution; Visual system; Wavelet transforms;
Conference_Titel :
Electrical and Computer Engineering, 1993. Canadian Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1993.332211
