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![Low-light image enhancement evaluation on the MIT-FiveK dataset [26]....](profile/Chi-Mao-Fan/publication/358974411/figure/tbl1/AS:1129383691599872@1646277463276/Low-light-image-enhancement-evaluation-on-the-MIT-FiveK-dataset-26-The-best-and-second_Q320.jpg)
Low-Light Image Enhancement is a computer vision task which intensifies the dark images to appropriate brightness. It can also be seen as an ill-posed problem in image restoration domain. With the success of deep neural networks, the convolutional neural networks surpass the traditional algorithm-based methods and become the mainstream in the compu...
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Context 1
... the computational complexity [17], and the design of wavelet attention could gain more semantic information and details in the training process to keep satisfactory results. Evaluation on MIT-Adobe FiveK. As for the MIT-5K [26], the average performance scores on the testing set and comparisons of some enhanced image are shown in Table 2 and Fig. 4. It shows that the proposed HWMNet still achieves state-of-the-art performance on both PSNR and ...
Context 2
... the computational complexity [17], and the design of wavelet attention could gain more semantic information and details in the training process to keep satisfactory results. Evaluation on MIT-Adobe FiveK. As for the MIT-5K [26], the average performance scores on the testing set and comparisons of some enhanced image are shown in Table 2 and Fig. 4. It shows that the proposed HWMNet still achieves state-of-the-art performance on both PSNR and ...
