Abstract
![CDATA[Contents carried in an image are valuable information sources for many scientific and engineering applications. However, if the image is captured under low illumination conditions a large portion of the image appears dark and this heavily degrades the image quality. In order to solve this problem, a restoration algorithm is developed here that transforms the low input brightness to a higher value using a logarithmic mapping function. The mapping is further refined by a linear weighting with the input to reduce the un-necessary amplification at regions with high brightness. Moreover, fine details in the image are preserved by applying the Retinex principle to extract and then re-insert object edges. 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.]]
Original language | English |
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Title of host publication | Proceedings of the 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), 15-17 October, 2016, Datong, China |
Publisher | IEEE |
Pages | 217-222 |
Number of pages | 6 |
ISBN (Print) | 9781509037100 |
DOIs | |
Publication status | Published - 2016 |
Event | International Congress on Image and Signal Processing - Duration: 15 Oct 2016 → … |
Conference
Conference | International Congress on Image and Signal Processing |
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Period | 15/10/16 → … |
Keywords
- digital techniques
- image processing
- image restoration
- logarithms
- signal processing