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Effective and Fast Estimation for Image Sensor Noise Via Constrained Weighted Least Squares
Dong, Li1; Zhou, Jiantao1; Tang, Yuan Yan1,2
2018-06
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN1057-7149
Volume27Issue:6Pages:2715-2730
Abstract

Noise estimation is crucial in many image processing algorithms such as image denoising. Conventionally, the noise is assumed as a signal-independent additive white Gaussian process. However, for the real raw data of image sensor, the present noise should be practically modeled as signal dependent. In this paper, we propose an effective and fast image sensor noise estimation method for a single raw image. The noise model parameters are estimated via constrained weighted least squares (WLS) fitting on a number of data samples, each of which is generated from a group of weakly textured patches. Specifically, we first design a fast scheme for selecting weakly textured patches, with the guidance of image histogram. To robustly fit the data samples, we then explicitly account for the credibility of each sample by measuring the texture strength of the grouped patches. The image sensor noise estimation is finally formulated as a constrained WLS optimization problem, which can be solved efficiently. Experimental results demonstrate that our method could run much faster than the existing schemes, while retaining the state-of-the-art estimation performance.

KeywordSignal-dependent Noise Image Sensor Noise Estimation Natural Image Statistics Weighted Least Squares
DOIhttps://doi.org/10.1109/TIP.2018.2812083
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000427637600009
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorDong, Li; Zhou, Jiantao; Tang, Yuan Yan
Affiliation1.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
2.Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Dong, Li,Zhou, Jiantao,Tang, Yuan Yan. Effective and Fast Estimation for Image Sensor Noise Via Constrained Weighted Least Squares[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,27(6):2715-2730.
APA Dong, Li,Zhou, Jiantao,&Tang, Yuan Yan.(2018).Effective and Fast Estimation for Image Sensor Noise Via Constrained Weighted Least Squares.IEEE TRANSACTIONS ON IMAGE PROCESSING,27(6),2715-2730.
MLA Dong, Li,et al."Effective and Fast Estimation for Image Sensor Noise Via Constrained Weighted Least Squares".IEEE TRANSACTIONS ON IMAGE PROCESSING 27.6(2018):2715-2730.
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