Document Type

Journal Article

Publisher

IEEE

Faculty

Computing, Health and Science

School

Engineering and Mathematics

RAS ID

802

Comments

This article was originally published as: Hammadou, T. & Bouzerdoum, A. (2001). Novel image enhancement technique using shunting inhibitory cellular neural networks. IEEE transactions on consumer electronics, 47(4), 934-940. Original article available here

© 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

This paper describes a method for improving image quality in a color CMOS image sensor. The technique simultaneously acts to compress the dynamic range, reorganize the signal to improve visibility, suppress noise, identify local features, achieve color constancy, and lightness rendition. An efficient hardware architecture and a rigorous analysis of the different modules are presented to achieve high quality CMOS digital cameras

DOI

10.1109/30.982811

Access Rights

free_to_read

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Link to publisher version (DOI)

10.1109/30.982811