Title :
Morphological methods in image coding
Author :
Zhou, Ziheng ; Venetsanopoulos, Anastasios N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
A novel image coding scheme is proposed and studied, in which fine spatial features are separated from an image and encoded using directional decomposition-based coding techniques. Morphological techniques are used for multiresolution feature decomposition and directional filtering in order to preserve the spatial integrity of the features. The experimental results from a preliminary study show that a high compression ratio can be achieved with good reconstruction image quality
Keywords :
feature extraction; filtering and prediction theory; image coding; image reconstruction; mathematical morphology; directional decomposition-based coding; directional filtering; fine spatial features; high compression ratio; image coding; image quality; image reconstruction; morphological methods; multiresolution feature decomposition; Filter bank; Filtering; Frequency; Humans; Image coding; Image quality; Image reconstruction; Image resolution; Nonlinear filters; Spatial resolution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226171
