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Retinal Based Image Enhancement Using Contourlet Transform

机译:基于视网膜的图像增强使用轮廓换变换

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摘要

In medical image processing, retinal image enhancement is the challenging issue to reveal the unseen details of an retinal image, thus, in many applications image enhancement issued to solve the challenges such as, noise reduction, blurring, degradation, etc. To improve the visual grade of retinal images we have many alternative image enhancement techniques that are suitable for specific application. This paper presents an overview of various retinal image enhancement techniques that will process the original Retinal image to obtain enhanced image suitable for a specific application. The method used in this paper has been evaluated with help of PSNR image Quality measure which is applied over several retinal images which is obtained from the datasets such as DRIVE, STARE and few other's provided by local medical experts. The comparative experimental results indicate that our proposed enhanced method has better outcome.
机译:在医学图像处理中,视网膜图像增强是揭示视网膜图像的看不见的细节的具有挑战性的问题,从而在许多应用中发出的图像增强来解决诸如降噪,模糊,劣化等的挑战,以改善视觉视网膜图像等级我们具有许多适用于特定应用的替代图像增强技术。本文介绍了各种视网膜图像增强技术的概述,该技术将处理原始视网膜图像以获得适合于特定应用的增强图像。本文中使用的方法已经通过PSNR图像质量测量评估了施加在几个视网膜图像上,该视网膜图像是从诸如驱动,凝视和当地医学专家提供的其他其他人提供的数据集。比较实验结果表明,我们提出的增强方法具有更好的结果。

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