Ponencia
A CNN-driven locally adaptive CMOS image sensor
Autor/es | Carmona Galán, Ricardo
Domínguez Matas, Carlos Cuadri, J. Jiménez Garrido, Francisco José Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2004 |
Fecha de depósito | 2019-11-11 |
Publicado en |
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ISBN/ISSN | 0-7803-8251-X |
Resumen | 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 ... 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. |
Cita | Carmona Galán, R., Domínguez Matas, C., Cuadri, J., Jiménez Garrido, F.J. y Rodríguez Vázquez, Á.B. (2004). A CNN-driven locally adaptive CMOS image sensor. En IEEE International Symposium on Circuits and Systems (ISCAS) (V-457-V-460), Vancouver, Canadá: Institute of Electrical and Electronics Engineers. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A CNN-DRIVEN LOCALLY ADAPTIVE.pdf | 10.77Mb | [PDF] | Ver/ | |