UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 1
January-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIR1501004


Registration ID:
140472

Page Number

22-25

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Title

Survey on PCA based Image denoising for Single-Sensor Digital Cameras

Abstract

This paper presents digital camera image compression solutions suitable for the use in single-sensor consumer electronic devices equipped with the Bayer color filter array (CFA). The proposed solutions code camera images available either in the CFA format or as the full-color demosaicked data, thus offering different design characteristics, performance and computational efficiency. MOST existing digital color cameras use a single sensor with a color filter array (CFA) to capture visual scenes in color. Since each sensor cell can record only one color value, the other two missing color components at each position need to be interpolated. The color interpolation process is usually called color demosaicking (CDM). The quality of demosaicked images is degraded due to the sensor noise introduced during the image acquisition process. The conventional solution of combating CFA sensor noise is demosaicking first, followed by a separate denoising processing. This strategy will generate many noise-caused color artifacts in the demosaicking process, which are hard to remove in the denoising process. Many advanced denoising algorithms, which are designed for monochromatic (or full color) images, are not directly applicable to CFA images due to the underlying mosaic structure of CFAs. A well designed “denoising first and demosaicking later” scheme can have advantages such as less noise-caused color artifacts and cost-effective implementation. In this paper, a single channel ICA based image denoising algorithm is proposed by constructing a noise image to as another observation signal for single channel noise reduction based on independent component analysis, thereby noise and original image can be separated through independent component analysis. Simulation result shows that much better denoising effect and signal-noise ratio can be obtained by using this algorithm.

Key Words

Color filter array (CFA), demosaicking, transform domain, Principal component analysis (PCA).

Cite This Article

"Survey on PCA based Image denoising for Single-Sensor Digital Cameras", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 1, page no.22-25, January-2015, Available :http://www.jetir.org/papers/JETIR1501004.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey on PCA based Image denoising for Single-Sensor Digital Cameras", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 1, page no. pp22-25, January-2015, Available at : http://www.jetir.org/papers/JETIR1501004.pdf

Publication Details

Published Paper ID: JETIR1501004
Registration ID: 140472
Published In: Volume 2 | Issue 1 | Year January-2015
DOI (Digital Object Identifier):
Page No: 22-25
Country: Pune , maharastry, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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