| Color reproduction from noisy CFA data of single sensor digital cameras. | |
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MedLine Citation:
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PMID: 17784592 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Single sensor digital color still/video cameras capture images using a color filter array (CFA) and require color interpolation (demosaicking) to reconstruct full color images. The color reproduction has to combat sensor noises which are channel dependent. If untreated in demosaicking, sensor noises can cause color artifacts that are hard to remove later by a separate denoising process, because the demosaicking process complicates the noise characteristics by blending noises of different color channels. This paper presents a joint demosaicking-denoising approach to overcome this difficulty. The color image is restored from noisy mosaic data in two steps. First, the difference signals of color channels are estimated by linear minimum mean square-error estimation. This process exploits both spectral and spatial correlations to simultaneously suppress sensor noise and interpolation error. With the estimated difference signals, the full resolution green channel is recovered. The second step involves in a wavelet-based denoising process to remove the CFA channel-dependent noises from the reconstructed green channel. The red and blue channels are subsequently recovered. Simulated and real CFA mosaic data are used to evaluate the performance of the proposed joint demosaicking-denoising scheme and compare it with many recently developed sophisticated demosaicking and denoising schemes. |
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Authors:
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Lei Zhang; Xiaolin Wu; David Zhang |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: 16 ISSN: 1057-7149 ISO Abbreviation: IEEE Trans Image Process Publication Date: 2007 Sep |
Date Detail:
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Created Date: 2007-09-05 Completed Date: 2007-12-31 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: United States |
Other Details:
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Languages: eng Pagination: 2184-97 Citation Subset: IM |
Affiliation:
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Department of Computing, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong. cslzhang@comp.polyu.edu.hk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Artifacts Colorimetry / instrumentation*, methods* Equipment Failure Image Enhancement / instrumentation, methods* Image Interpretation, Computer-Assisted / methods* Photography / instrumentation*, methods* Reproducibility of Results Sensitivity and Specificity Transducers* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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