A robust color signal processing with wide dynamic range WRGB CMOS image sensor

Shun Kawad, Rihito Kurod, Shigetoshi Sugaw

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We have developed a robust color reproduction methodology by a simple calculation with a new color matrix using the formerly developed wide dynamic range WRGB lateral overflow integration capacitor (LOFIC) CMOS image sensor1. The image sensor was fabricated through a 0.18 μm CMOS technology and has a 45 degrees oblique pixel array, the 4.2 μm effective pixel pitch and the W pixels. A W pixel was formed by replacing one of the two G pixels in the Bayer RGB color filter. The W pixel has a high sensitivity through the visible light waveband. An emerald green and yellow (EGY) signal is generated from the difference between the W signal and the sum of RGB signals. This EGY signal mainly includes emerald green and yellow lights. These colors are difficult to be reproduced accurately by the conventional simple linear matrix because their wave lengths are in the valleys of the spectral sensitivity characteristics of the RGB pixels. A new linear matrix based on the EGY-RGB signal was developed. Using this simple matrix, a highly accurate color processing with a large margin to the sensitivity fluctuation and noise has been achieved.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Digital Photography VII
DOIs
Publication statusPublished - 2011 Feb 28
EventDigital Photography VII - San Francisco, CA, United States
Duration: 2011 Jan 242011 Jan 25

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7876
ISSN (Print)0277-786X

Other

OtherDigital Photography VII
CountryUnited States
CitySan Francisco, CA
Period11/1/2411/1/25

Keywords

  • CMOS image sensor
  • Color signal processing
  • LOFIC
  • Linear matrix
  • WRGB color filter

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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