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Proceedings Paper

Logarithmic profile mapping multi-scale Retinex for restoration of low illumination images
Author(s): Haiyan Shi; Ngaiming Kwok; Hongkun Wu; Ruowei Li; Shilong Liu; Ching-Feng Lin; Chin Yeow Wong
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Paper Abstract

Images are valuable information sources for many scientific and engineering applications. However, images captured in poor illumination conditions would have a large portion of dark regions that could heavily degrade the image quality. In order to improve the quality of such images, a restoration algorithm is developed here that transforms the low input brightness to a higher value using a modified Multi-Scale Retinex approach. The algorithm is further improved by a entropy based weighting with the input and the processed results to refine the necessary amplification at regions of low brightness. Moreover, fine details in the image are preserved by applying the Retinex principles to extract and then re-insert object edges to obtain an enhanced image. Results from experiments using low and normal illumination images have shown satisfactory performances with regard to the improvement in information contents and the mitigation of viewing artifacts.

Paper Details

Date Published: 10 April 2018
PDF: 10 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152H (10 April 2018); doi: 10.1117/12.2302669
Show Author Affiliations
Haiyan Shi, Shaoxing Univ. (China)
Ngaiming Kwok, Univ. of New South Wales (Australia)
Hongkun Wu, Univ. of New South Wales (Australia)
Ruowei Li, Univ. of New South Wales (Australia)
Shilong Liu, Univ. of New South Wales (Australia)
Ching-Feng Lin, Univ. of New South Wales (Australia)
Chin Yeow Wong, Univ. of New South Wales (Australia)

Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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