Title :
Adaptive filtering for image denoising
Author :
Bosco, Angelo ; Mancuso, Massimo
Author_Institution :
AST Lab., STMicroelectron., Catania, Italy
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;
Conference_Titel :
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6622-0
DOI :
10.1109/ICCE.2001.935277
