Title :
Image intensity conversion via cellular neural networks
Author :
Nakaguchi, Toshiya ; Tanji, Yuichi ; Tanaka, Mamoru
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Abstract :
The image intensity conversion via CNN is presented. The intensity conversion is defined as a nonlinear optimization problem, and the templates of CNN for solving it are optimally designed. Since human visual sensitivity and linear quantization of original image are used to design the templates, it gives a smooth image preserving edge information such as character parts
Keywords :
Lyapunov methods; cellular neural nets; edge detection; image coding; quantisation (signal); CNN; cellular neural networks; character parts; edge information; human visual sensitivity; image intensity conversion; linear quantization; nonlinear optimization problem; smooth image; templates; Cellular neural networks; Design optimization; Feedforward systems; Hardware; Humans; Image converters; Neural networks; Piecewise linear techniques; Quantization; Stability;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.858704
