Paper
28 February 2017 A combination of JND curve property and intensity-pair distribution for image enhancement
Bin Zou, Yang Lu, Jun Qian, Junfeng He, Liangfu Li, Guoliang Zhou, Yizhou Yang, Haozheng Yan
Author Affiliations +
Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 102565N (2017) https://doi.org/10.1117/12.2251600
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China
Abstract
In recent years, the distribution characteristic of pixel intensity-pairs is proposed, which effectively absorbing the advantages of global and local image enhancement algorithms, avoiding over enhancement, noise amplification and other defects. However, the performance of the algorithm is heavily dependent on the selection of local artificial thresholds. In this paper, by the Just Noticeable Difference(JND) curve from human visual system, dynamic thresholds with visual sense are generated. Then image pixels are divided into different channels for statistical processing, in order to construct mapping functions. Finally, the enhanced image is a weighted fusion of different channels. The experiment results show that the proposed algorithm has better effect and adaptability.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Zou, Yang Lu, Jun Qian, Junfeng He, Liangfu Li, Guoliang Zhou, Yizhou Yang, and Haozheng Yan "A combination of JND curve property and intensity-pair distribution for image enhancement", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102565N (28 February 2017); https://doi.org/10.1117/12.2251600
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KEYWORDS
Image enhancement

Image fusion

Eye

Image processing

Visualization

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