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Enhancing Low-Light Images with JPEG Artifact Based on Image Decomposition

机译:基于图像分解的JPEG伪影增强弱光图像

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摘要

Images shared on the Internet are often compressed into a small size, and thus have the JPEG artifact. This issue becomes challenging for task of low-light image enhancement, as the artifacts hidden in dark image regions can be further boosted by traditional enhancement models. We use a divide-and-conquer strategy to tackle this problem. Specifically, we decompose an input image into an illumination layer and a reflectance layer, which decouple the issues of low lightness and JPEG artifacts. Therefore we can deal with them separately with the off-the-shelf enhancing and deblocking techniques. Qualitative and quantitative comparisons validate the effectiveness of our method.
机译:Internet上共享的图像通常被压缩为较小的尺寸,因此具有JPEG伪像。由于传统增强模型可以进一步增强暗光图像区域中隐藏的伪影,因此此问题对于低光图像增强的任务变得具有挑战性。我们使用分而治之的策略来解决这个问题。具体来说,我们将输入图像分解为照明层和反射层,从而将低亮度和JPEG伪像问题耦合在一起。因此,我们可以使用现成的增强和解块技术分别处理它们。定性和定量比较验证了我们方法的有效性。

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