Title :
A CNN-driven locally adaptive CMOS image sensor
Author :
Carmona, R. ; Domínguez-Matas, C.M. ; Cuadri, J. ; Jiménez-Garrido, F. ; Rodriguez-Vasquez, A.
Author_Institution :
Instituto de Microelectron. de Sevilla, Campus de la Univ. de Sevilla, Spain
Abstract :
A bioinspired model for mixed-signal array mimics the way in which images are processed in the visual pathway. Focal-plane processing of images permits local adaptation of photoreceptor structures in silicon. Beyond simple resistive grid filtering, nonlinear and anisotropic diffusion can be programmed in this CNN chip. This paper presents the local circuitry for sensors adaptation based on the mixed-signal VLSI parallel processing infrastructure in CMOS.
Keywords :
CMOS image sensors; VLSI; cellular neural nets; mixed analogue-digital integrated circuits; parallel processing; CNN chip; VLSI; anisotropic diffusion; bioinspired model; focal-plane image processing; local circuitry; locally adaptive CMOS image sensor; mixed-signal array; mixed-signal parallel processing; nonlinear diffusion; photoreceptor structure; resistive grid filtering; visual pathway; Anisotropic magnetoresistance; CMOS image sensors; Cellular neural networks; Circuits; Filtering; Parallel processing; Photoreceptors; Semiconductor device modeling; Silicon; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1329618
