Title :
Adaptive spatial filtering for digital images
Author :
Xuejun, Yang ; Huang Zeulu
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ., of Sci. & Technol., Wuhan, China
Abstract :
An adaptive spatial filtering for images is presented with application to postprocessing of block coding images. The main purpose is to reduce the degradation in decoded images caused by block coding with no increase in the bit-rate of coding. The filter design is based on some prior knowledge about image edges, D. Marr and E. Hildreth´s vision model (1980) and the optimal approximation theory. The experiment shows that the filter is satisfactory, simple, and easy for hardware implementation. It can be applied to all kinds of images encoded by block coding methods
Keywords :
approximation theory; computerised picture processing; encoding; adaptive spatial filtering; block coding; computerised picture processing; decoded images; digital images; encoding; optimal approximation theory; postprocessing; Adaptive filters; Approximation methods; Block codes; Decoding; Degradation; Digital filters; Digital images; Filtering theory; Hardware; Image coding;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28367
