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首页> 外文会议>International conference on graphic and image processing >Single-Scale Center-Surround Retinex Based Restoration of Low-illumination Images with Edge Enhancement
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Single-Scale Center-Surround Retinex Based Restoration of Low-illumination Images with Edge Enhancement

机译：具有边缘增强功能的基于单比例中心环绕Retinex的低照度图像恢复

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摘要

Restoring images captured under low-illuminations is an essential Front-end process for most image based applications. The Center-Surround Retinex algorithm has been a popular approach employed to improve image brightness. However, this algorithm in its basic form, is known to produce color degradations. In order to mitigate this problem, here the Single-Scale Retinex algorithm is modified as an edge extractor while illumination is recovered through a non-linear intensity mapping stage. The derived edges are then integrated with the mapped image to produce the enhanced output. Furthermore, in reducing color distortion, the process is conducted in the magnitude sorted domain instead of the conventional Red-Green-Blue (RGB) color channels. Experimental results had shown that improvements with regard to mean brightness, colorfulness. saturation, and information content can be obtained.
机译：对于大多数基于图像的应用程序而言，还原在低照度下捕获的图像是一项必不可少的前端过程。 Center-Surround Retinex算法已成为一种用于提高图像亮度的流行方法。但是，已知这种算法的基本形式会导致颜色下降。为了减轻这个问题，这里将单比例Retinex算法修改为边缘提取器，同时通过非线性强度映射阶段恢复照明。然后将派生的边缘与映射的图像整合在一起，以产生增强的输出。此外，为了减少颜色失真，该过程在幅度排序域中进行，而不是在常规的红-绿-蓝（RGB）颜色通道中进行。实验结果表明，在平均亮度，彩色度方面有改进。饱和，可以获得信息内容。

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