Title :
Adaptive De-noising Filter Algorithm for CMOS Image Sensor Testing Applications
Author :
Hsu, Chun-Lung ; Lan, Chen-Wei ; Lo, Yu-Chih ; Huang, Yu-Sheng
Author_Institution :
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
Abstract :
This paper proposes an adaptive de-nosing filter (ADF) algorithm to effectively remove the image defects for the CMOS image sensor testing applications. Based on the median filter technique, the proposed ADF algorithm develops a pre-processing method to generate adaptive detection windows for pixel defect de-noising of an image. Experimental results and comparisons show that the proposed ADF algorithm can provide a significant ability of defects de-noising for supporting good performance in peak signal-to-noise ratio (PSNR) and image quality.
Keywords :
CMOS image sensors; adaptive filters; image denoising; median filters; CMOS image sensor testing; adaptive de-noising filter algorithm; adaptive detection windows; image quality; median filter technique; peak signal-to-noise ratio; pixel defect de-noising; Algorithm design and analysis; CMOS image sensors; Filtering algorithms; Image quality; Noise; Noise reduction; Pixel; CMOS image sensor; PSNR; adaptive de-nosing filter algorithm; image quality;
Conference_Titel :
Defect and Fault Tolerance in VLSI Systems (DFT), 2010 IEEE 25th International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-8447-8
DOI :
10.1109/DFT.2010.23