Ponencia
Image filtering by reduced kernels exploiting kernel structure and focal-plane averaging
Autor/es | Fernández Berni, Jorge
Carmona Galán, Ricardo Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2011 |
Fecha de depósito | 2019-09-11 |
Publicado en |
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ISBN/ISSN | 978-1-4577-0617-2 |
Resumen | Incorporating multi-resolution capabilities into imagers renders additional power saving mechanisms in the subsequent image processing. In this paper, we show how, by exploiting a certain mask structure, 3 × 3 kernels can ... Incorporating multi-resolution capabilities into imagers renders additional power saving mechanisms in the subsequent image processing. In this paper, we show how, by exploiting a certain mask structure, 3 × 3 kernels can be reduced to 2 × 2 kernels if charge redistribution is provided at the focal plane of the imaging device. More precisely, by averaging and shifting a half-resolution pixel grid, we will have a pre-processed image, subsampled by a factor of 2 on each dimension, that can be filtered with a mask of a reduced size. Very useful image filtering kernels, like a 3 × 3 Gaussian kernel for image smoothing, or the well-known Sobel operators, fall into this category of reducible kernels. Operating onto the pre-processed image with one of these reduced kernels represents a smaller number of operations per pixel than realizing all the multiply-accumulate operations needed to apply a 3 × 3 kernel. Memory accesses are reduced in the same fraction. Concerning the difficulties of providing this pre-processed image representation, we propose a methodology for obtaining it at a very low power cost. It requires the implementation of user definable image subdivision and subsampling at the focal plane. Experimental results are given, obtained from measurements on a CMOS imager prototype chip incorporating these multi-resolution capabilities. |
Identificador del proyecto | TEC2009-11812
N000141110312 |
Cita | Fernández Berni, J., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (2011). Image filtering by reduced kernels exploiting kernel structure and focal-plane averaging. En 20th European Conference on Circuit Theory and Design (230-233), Linkoping, Suecia: Institute of Electrical and Electronics Engineers. |
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