Title :
Encoding of Images Based on a Two-Component Source Model
Author :
Yan, Johnson K. ; Sakrison, David J.
Author_Institution :
University of California, Berkeley, CA
fDate :
11/1/1977 12:00:00 AM
Abstract :
In this paper we describe a code for grey-scale still images which separates the intensity function into two components: a discontinuous one representing intensity variations due to distinct objects and a continuous component due to such effects as texture. Each component is encoded separately and the two decoded components combined at the receiver. The code produces images with notably sharper detail and more pleasing appearance than a whole raster Fourier Transform code operating at the same rate.
Keywords :
Image coding; Bit rate; Computer errors; Decoding; Encoding; Fourier transforms; Image coding; Information theory; Rate distortion theory; Rate-distortion; Testing;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOM.1977.1093765