Title :
mm-band radar image filtering with texture information preservation
Author :
Lukin, V. ; Tsymba, O.
Author_Institution :
Nat. Aerosp. Univ., Kharkov, Ukraine
Abstract :
Studies the texture preserving properties for different simple basic filters (of DPF and NSF types) in order to provide a possibility of using one of them in the filtering scheme for texture region processing. These properties have been analyzed both quantitatively and visually. The filters analyzed were the following: the noise suppressing filters (NSFs) - mean, median, and Lpq filters; the detail preserving filters (DPFs) - the standard sigma filter and the local statistical Lee filter
Keywords :
filtering theory; image texture; millimetre wave imaging; radar imaging; radar resolution; statistical analysis; detail preserving filters; filtering scheme; local statistical Lee filter; mm-band radar image filtering; noise suppressing filters; standard sigma filter; texture information preservation; texture preserving properties; texture region processing; Adaptive filters; Gaussian noise; Image texture analysis; Information filtering; Information filters; PSNR; Passive filters; Radar imaging; Radar remote sensing; Remote sensing;
Conference_Titel :
Physics and Engineering of Millimeter and Sub-Millimeter Waves, 2001. The Fourth International Kharkov Symposium on
Conference_Location :
Kharkov
Print_ISBN :
0-7803-6473-2
DOI :
10.1109/MSMW.2001.946879
