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首页> 外文会议>International conference on graphic and image processing >Logarithmic Profile Mapping Multi-Scale Retinex for Restoration of Low Illumination Images
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Logarithmic Profile Mapping Multi-Scale Retinex for Restoration of Low Illumination Images

机译：对数轮廓映射多尺度Retinex用于恢复低照度图像

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Images are valuable information sources for many scientific and engineering applications. However, images captured in poor illumination conditions would have a large portion of dark regions that could heavily degrade the image quality. In order to improve the quality of such images, a restoration algorithm is developed here that transforms the low input brightness to a higher value using a modified Multi-Scale Retinex approach. The algorithm is further improved by a entropy based weighting with the input and the processed results to refine the necessary amplification at regions of low brightness. Moreover, fine details in the image are preserved by applying the Retinex principles to extract and then re-insert object edges to obtain an enhanced image. Results from experiments using low and normal illumination images have shown satisfactory performances with regard to the improvement in information contents and the mitigation of viewing artifacts.
机译：图像是许多科学和工程应用程序的宝贵信息来源。但是，在不良照明条件下捕获的图像将具有很大一部分暗区，这可能会严重降低图像质量。为了提高此类图像的质量，此处开发了一种恢复算法，该算法使用改进的Multi-Scale Retinex方法将低输入亮度转换为较高的值。通过对输入和处理结果进行基于熵的加权来进一步改进该算法，以改善低亮度区域所需的放大率。此外，通过应用Retinex原理来提取图像，然后重新插入对象边缘以获得增强的图像，可以保留图像中的精细细节。使用低照度图像和正常照度图像的实验结果显示，在信息内容的改善和观看伪影的缓解方面，性能令人满意。

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