1. A Novel Fusion Method for Low Brightness Enhancement Derivatives.
- Author
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Wei, Chao, Lin, Hongxin, Tang, Lijuan, Liu, Weiping, Jiang, Mengzhen, Wang, Junfeng, and Chen, Guannan
- Subjects
IMAGE enhancement (Imaging systems) ,RETINAL imaging ,CEREBRAL cortex ,IMAGE reconstruction algorithms - Abstract
In this paper, a straightforward and effective fusion method is designed for low brightness enhancement derivatives, which are generated through using brightness enhancement technique for a single low-brightness image. First, illumination estimation techniques and the principle of retinal imaging and cerebral cortex adjustment are combined to acquire the exposure ratio map. Then, a novel Chi-squared conversion function model and an accurate exposure ratio map are employed to obtain two derivatives with different characteristics: one is natural but not very detailed; the other is excessively bright but with prominent details. Finally, the improved weight matrix design and a novel derivatives fusion method are utilized to fuse the improved features of the derivatives. Experiments on a diverse set of images demonstrate that the proposed algorithm can not only reveal the efficiency of the brightness and detail enhancement, but also can show its superiority over several state-of-the-art processes in terms of overall visual information enhancement. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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