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Proceedings Paper

Profile based fast noise estimation and high ISO noise reduction for digital cameras
Author(s): Youngjin Yoo; HoCheon Wey; SeongDeok Lee; Chang-Yong Kim
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Paper 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.

Paper Details

Date Published: 3 March 2008
PDF: 12 pages
Proc. SPIE 6817, Digital Photography IV, 68170B (3 March 2008); doi: 10.1117/12.766297
Show Author Affiliations
Youngjin Yoo, Samsung Advanced Institute of Technology (South Korea)
HoCheon Wey, Samsung Advanced Institute of Technology (South Korea)
SeongDeok Lee, Samsung Advanced Institute of Technology (South Korea)
Chang-Yong Kim, Samsung Advanced Institute of Technology (South Korea)


Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)

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