Title :
Novel image enhancement technique using shunting inhibitory cellular neural networks
Author :
Hammadou, Tarik ; Bouzerdoum, Abdessalem
Author_Institution :
Motorola Labs., Botany, NSW, Australia
fDate :
11/1/2001 12:00:00 AM
Abstract :
This paper describes a method for improving image quality in a color CMOS image sensor. The technique simultaneously acts to compress the dynamic range, reorganize the signal to improve visibility, suppress noise, identify local features, achieve color constancy, and lightness rendition. An efficient hardware architecture and a rigorous analysis of the different modules are presented to achieve high quality CMOS digital cameras
Keywords :
CMOS image sensors; cameras; cellular neural nets; data compression; feature extraction; image colour analysis; image enhancement; CMOS digital cameras; CMOS image sensor; cellular neural networks; color constancy; color image sensor; dynamic range compression; hardware architecture; image enhancement; lightness rendition; local features; noise suppression; shunting inhibitory neural networks; visibility; CMOS image sensors; Cellular neural networks; Charge coupled devices; Color; Colored noise; Dynamic range; Image enhancement; Image sensors; Pixel; Sensor arrays;
Journal_Title :
Consumer Electronics, IEEE Transactions on
