Global brightness and local contrast adaptive enhancement for low illumination color image |
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| Authors: | Zhigang Zhou Nong Sang Xinrong Hu |
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| Affiliation: | 1. Science & Technology on Multi-spectral Information Processing Laboratory School of Automation, Huazhong University of Science and Technology, Wuhan 430074, PR China;2. Department of Mathematics and Computer College, Wuhan Textile University, Wuhan 430073, PR China |
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| Abstract: | An adaptive enhancement algorithm is proposed in the paper for low illumination color image which is low brightness and low contrast. The algorithm is realized through three steps: the global brightness adaptive adjustment, locally adaptive contrast enhancement and color restore. Experiments show that the brightness and local contrast of low illumination color image can be effectively enhanced. The details, especially in the dark region of enhanced image are more prominent and the enhanced image is more vivid than some other methods for low illumination color image enhancement. |
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| Keywords: | Low illumination Color image Brightness enhancement Local contrast enhancement Adaptively |
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