Image Restoration and Enhancement

Adaptive hybrid mean and median filtering of high-ISO long-exposure sensor noise for digital photography

[+] Author Affiliations
Tamer Rabie

UAE University, College of Information Technology, P.O. Box 15551, Al-Ain, United Arab Emirates E-mail: tamer@cs.toronto.edu

J. Electron. Imaging. 13(2), 264-277 (Apr 01, 2004). doi:10.1117/1.1668279
History: Received Feb. 3, 2003; Revised Apr. 30, 2003; Revised Sep. 11, 2003; Accepted Sep. 15, 2003; Online April 01, 2004
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This paper presents a new methodology for the reduction of sensor noise from images acquired using digital cameras at high-International Organization for Standardization (ISO) and long-exposure settings. The problem lies in the fact that the algorithm must deal with hardware-related noise that affects certain color channels more than others and is thus nonuniform over all color channels. A new adaptive center-weighted hybrid mean and median filter is formulated and used within a novel optimal-size windowing framework to reduce the effects of two types of sensor noise, namely blue-channel noise and JPEG blocking artifacts, common in high-ISO digital camera images. A third type of digital camera noise that affects long-exposure images and causes a type of sensor noise commonly known as “stuck-pixel” noise is dealt with by preprocessing the image with a new stuck-pixel prefilter formulation. Experimental results are presented with an analysis of the performance of the various filters in comparison with other standard noise reduction filters. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Tamer Rabie
"Adaptive hybrid mean and median filtering of high-ISO long-exposure sensor noise for digital photography", J. Electron. Imaging. 13(2), 264-277 (Apr 01, 2004). ; http://dx.doi.org/10.1117/1.1668279


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