Paper
3 March 2008 Profile based fast noise estimation and high ISO noise reduction for digital cameras
Author Affiliations +
Proceedings Volume 6817, Digital Photography IV; 68170B (2008) https://doi.org/10.1117/12.766297
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
In this paper, we present a new noise estimation and reduction scheme to restore images degraded by image sensor noise. Since the characteristic of noise deviates according to camera response function (CRF) and the sensitivity of image sensors, we build a noise profile by using test charts for accurate noise estimation. By using the noise profile, we develop simple and fast noise estimation scheme which can be appropriately used for digital cameras. Our noise removal method utilizes the result of the noise estimation and applies several adaptive nonlinear filters to give the best image quality against high ISO noise. Experimental results show that the proposed method yields significantly good performance for images corrupted by both synthetic sensor noise and real sensor noise.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Youngjin Yoo, HoCheon Wey, SeongDeok Lee, and Chang-Yong Kim "Profile based fast noise estimation and high ISO noise reduction for digital cameras", Proc. SPIE 6817, Digital Photography IV, 68170B (3 March 2008); https://doi.org/10.1117/12.766297
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Nonlinear filtering

Denoising

Sensors

Digital cameras

Image filtering

Cameras

Digital filtering

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