Title :
1/f Noise Reduction and Image Enhancement on CMOS Image Sensors by Autocorrelation Based on Adaptive Algorithm
Author :
Hwang, Kunsu ; Nishimura, T.H.
Author_Institution :
Dept. of Inf., Production & Syst., Univ. Kitakyushu (Fukuoka), Kitakyushu, Japan
Abstract :
In CMOS image sensor, 1/f noise is determined by width and length of gate at the circuit. Reducing the 1/f noise, a correlative multi sampling and an autocorrelation method have been used, mainly. Nevertheless, a correlative multi sampling has a practical problem of limitation which is the band of applied frequency. Because of the problem, an autocorrelation method is used for the reducing of 1/f noise better than correlative multi sampling. General noise reduction filters along with the smoothing effect. In this study, the autocorrelation method based on adaptive algorithm is proposed to reduce the smoothing effect at the edge of image.
Keywords :
1/f noise; CMOS image sensors; correlation methods; filters; image enhancement; image sampling; 1/f noise reduction; CMOS image sensor; adaptive algorithm; autocorrelation method; correlative multi sampling; image enhancement; noise reduction filter; smoothing effect; Adaptive algorithm; Autocorrelation; CMOS image sensors; Circuit noise; Filters; Frequency; Image enhancement; Image sampling; Noise reduction; Smoothing methods; 1/f noise; CMOS image sensor; adaptive algorithm; autocorrelation;
Conference_Titel :
World Congress on Engineering and Computer Science 2008, WCECS '08. Advances in Electrical and Electronics Engineering - IAENG Special Edition of the
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-3545-6
DOI :
10.1109/WCECS.2008.40