DocumentCode
3264970
Title
Adaptive filtering for image denoising
Author
Bosco, Angelo ; Mancuso, Massimo
Author_Institution
AST Lab., STMicroelectron., Catania, Italy
fYear
2001
fDate
2001
Firstpage
208
Lastpage
209
Abstract
This paper presents an adaptive image filter that reduces the amount of noise in images acquired by digital still camera sensors in a Bayer pattern format. The filter acts mainly on the high spatial frequency components of the image in all the areas where they are not perceived by the human visual system (HVS); thus it is an adaptive filter that improves the image quality
Keywords
adaptive filters; adaptive signal processing; cameras; feature extraction; filtering theory; image processing; noise; visual perception; Bayer pattern format; CCD image sensor; CMOS image sensor; HVS; adaptive filtering; adaptive image filter; color picture; digital still camera sensors; high spatial frequency components; human visual system; image denoising; image quality; local feature detector; noise level estimation; noise reduction; similarity evaluation; Adaptive filters; Digital cameras; Digital filters; Frequency; Humans; Image denoising; Image quality; Image sensors; Noise reduction; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-7803-6622-0
Type
conf
DOI
10.1109/ICCE.2001.935277
Filename
935277
Link To Document