Title :
Novel image enhancement technique using shunting inhibitory cellular neural networks
Author :
Hammadou, Tarik ; Bouzerdoum, Abdessalem
Author_Institution :
Motorola Australian Res. Center, Botany, NSW, Australia
Abstract :
A classic problem in video mobile application is that lighting conditions are unpredictable and out of the user control. In such a situation even high quality video equipment may fail to reproduce good quality images. One example is when the dynamic range of a scene exceeds the camera´s dynamic range, there can be a dramatical loss of visual information
Keywords :
cellular neural nets; image colour analysis; image enhancement; lighting; video equipment; video signal processing; VLSI implementation; camera dynamic range; color images; high quality video equipment; image enhancement; image quality; lighting conditions; scene dynamic range; shunting inhibitory cellular neural networks; video mobile application; visual information loss; Australia; Cellular neural networks; Dynamic range; Frequency; Image edge detection; Image enhancement; Information processing; Neural networks; Neurons; Object detection;
Conference_Titel :
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6622-0
DOI :
10.1109/ICCE.2001.935311
