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Noise Reduction Method for Image Signal Processor Based on Unified Image Sensor Noise Model

Title
Noise Reduction Method for Image Signal Processor Based on Unified Image Sensor Noise Model
Author
김회율
Keywords
image signal processor; noise modeling; denoising; image sensor; SUSAN filtering
Issue Date
2013-05
Publisher
Institute of Electronics, Information and Communication Engineers
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E SERIES D, 2013, E96D(5), P.1152-1161
Abstract
The noise in digital images acquired by image sensors has complex characteristics due to the variety of noise sources. However, most noise reduction methods assume that an image has additive white Gaussian noise (AWGN) with a constant standard deviation, and thus such methods are not effective for use with image signal processors (ISPs). To efficiently reduce the noise in an ISP, we estimate a unified noise model for an image sensor that can handle shot noise, dark-current noise, and fixed-pattern noise (FPN) together, and then we adaptively reduce the image noise using an adaptive Smallest Univalue Segment Assimilating Nucleus (SUSAN) filter based on the unified noise model. Since our noise model is affected only by image sensor gain, the parameters for our noise model do not need to be re-configured depending on the contents of image Therefore, the proposed noise model is suitable for use in an ISP. Our experimental results indicate that the proposed method reduces image sensor noise efficiently.
URI
https://www.jstage.jst.go.jp/article/transinf/E96.D/5/E96.D_1152/_articlehttp://hdl.handle.net/20.500.11754/52059
ISSN
0916-8532
DOI
10.1587/transinf.E96.D.1152
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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