Özet:

Although the problem of low-light image enhancement has been extensively studied in the field of computer vision, the issue of chromatic aberrations has still not been completely solved. In this study, the effects of preventing chromatic aberration by using different attention mechanisms on the SSIENet architecture, which exhibits successful results in low-light image enhancement, were investigated. Effective channel, spatial and channel squeeze and excitation, channel attention, coordinate attention, squeeze and excitation and bottleneck attention mechanisms were used for the experiments. In experiments, it was noticed that PSNR and SSIM values increased significantly with low-light image enhancement using the attention mechanism. It was found that the PSNR value increased from 19.1574 to 20.5135, and the SSIM value increased from 0.7108 to 0.7657, especially when the squeeze and excitation attention mechanism was used for low-light image enhancement.

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