图像质量增强:线性规划方法

J. Patni, Saurabh Agarwal, M. Kumar, Priyal Agarwal
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引用次数: 0

摘要

图像改进可能是主要的视觉应用,因为它可以升级计算机图像,使其结果更适合显示或进一步的图像检查。为了研究计算机化图像的本质,人们提出了一些引人注目的策略。我们的目标是管理图片处理和它的主要进步之后,我们已经集中在不同的图片升级过程。因为照片的清晰度受到光线、气候或用来捕捉照片的装备的有效影响。这些情况会导致数据丢失。图像改进背后的主要动机是突出图像中被掩盖的细节,或者在低差图像中扩大对比度。它为处理图片的视觉性质提供了无数的决定。其文章是对具体的图片属性进行剖析,以供检验、终结和进一步利用。
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Image Quality Enhancement : A Linear Programming Approach
Picture improvement has been discovered to be perhaps the main vision applications since it can upgrade the computerized pictures with the goal that the outcomes are more appropriate for show or further picture examination. To work on the nature of computerized pictures there are remarkable strategies that have been proposed. The goal is to manage picture handling and its major strides after that we had zeroed in on the diverse picture upgrade procedures. Since picture clearness is effectively influenced by lighting, climate, or gear that has been utilized to catch the picture. These conditions lead to loss of data. The principle motivation behind picture improvement is to bring out detail that is covered up in a picture or to expand contrast during a low difference picture. It gives countless decisions for working on the visual nature of pictures. Its article is to dissect the specific picture attributes for examination, end and further use.
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