Hybrid mean adaptive center weighted median filter for color sensor denoising

Author

Rabie, Tamer

Author_Institution

Dept. of Civil Eng., Toronto Univ., Ont., Canada

fYear

2004

fDate

18-19 Nov. 2004

Firstpage

321

Lastpage

326

Abstract

The paper describes a novel method for removing sensor noise from images acquired using digital cameras at high ISO settings. The problem lies in the fact that the algorithm must deal with hardware-related sensor noise that affects certain color channels more than others and is thus non-uniform over all color channels. An adaptive signal equalization mean and median hybrid filter is formulated and experimental results are presented with an analysis of the performance of the filter in comparison with other standard noise reduction filters.

Keywords

CCD image sensors; adaptive equalisers; adaptive filters; circuit noise; image colour analysis; image denoising; interference suppression; median filters; random noise; CCD; ISO sensitivity number; adaptive filter; adaptive signal equalization; color sensor denoising; digital cameras; hardware-related sensor noise; hybrid mean adaptive center weighted median filter; mean filter; noise reduction filters; Adaptive equalizers; Adaptive filters; Colored noise; Digital cameras; ISO; Image sensors; Noise reduction; Performance analysis; Sensor phenomena and characterization; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium on

Print_ISBN

0-7803-8639-6

Type

conf

DOI

10.1109/ISPACS.2004.1439068

Filename

1439068