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Performance Evaluation of Modified DBLA Using Dark Channel Prior & CLAHE

机译:使用暗通道先验和CLAHE评估改进的DBLA的性能

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This paper has focused on the different image enhancement techniques. Image enhancement has found to be one of the most important vision applications because it has ability to enhance the visibility of images. It enhances the quality of poor pictures. Distinctive procedures have been proposed so far for improving the quality of the digital images. To enhance picture quality image enhancement can specifically improve and limit some data presented in the input picture. It is a kind of vision system which reductions picture commotion, kill antiquities, and keep up the informative parts. Its object is to open up certain picture characteristics for investigation, conclusion and further use. The main objective of this paper is to modify the DBLA using the dark channel prior and CLAHE to enhance the results further. The comparative analysis has shown the significant improvement over the CLAHE and the DBLA.
机译:本文重点介绍了不同的图像增强技术。图像增强已被认为是最重要的视觉应用之一,因为它具有增强图像可见性的能力。它提高了不良图片的质量。迄今为止,已经提出了独特的程序来改善数字图像的质量。为了增强图片质量,图像增强可以专门改善和限制输入图片中显示的某些数据。它是一种视觉系统,可减少图像混乱,消除文物并保持信息量。其目的是打开某些图片特征以供研究,结论和进一步使用。本文的主要目标是使用暗通道先验和CLAHE修改DBLA,以进一步提高结果。对比分析表明,与CLAHE和DBLA相比,有了明显的改进。

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