A simple and efficient color recovering system for content sharing website

Lossy image data compression is commonly used to reduce the original data size on traditional lossy compression fields, such as MPEG-x and H.26x including User-Created Content. This paper proposes a simple and efficient method for correcting online user-created contents' distortion in color. Th...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2010-05, Vol.56 (2), p.863-869
Main Authors: Han, Yunsang, Lee, Seokhan, Choi, Jongsoo, Lee, Sangkeun
Format: Article
Language:English
Subjects:
and color distortion
Color
Color compensation
color correction
Compressing
Data compression
Distortion
Distortion measurement
Image coding
Image converters
lossy compression
Mathematical analysis
Matrices
Matrix converters
Matrix methods
PSNR
Transform coding
User-generated content
Video sharing
Websites
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Summary:Lossy image data compression is commonly used to reduce the original data size on traditional lossy compression fields, such as MPEG-x and H.26x including User-Created Content. This paper proposes a simple and efficient method for correcting online user-created contents' distortion in color. The proposed system consisted of two main phases: 1) in the training step, the working space was converted to CIE Lab color space. Next, the training images were classified to estimate the correction matrices. The correction matrices were calculated and optimized through a Newton iteration-based approach between the original and distorted images; and 2) in the correction step, the optimized correction matrices were applied to the distorted images for the color reproduction. In order to evaluate the performance of the proposed scheme, the quantitative measures were defined in terms of the peak signal-to-noise ratio (PSNR) and correction ratio. The experimental results showed that the proposed approach can reduce significantly the color distortion from a video sharing website. The proposed method can be a useful tool for correcting the distortion caused by image processing, such as lossy compression and color improvement in the consumer electronics-related field.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2010.5506013