Image Restoration Based On Deconvolution by
Image Restoration Based On Deconvolution by
复制标题
基于反卷积的图像恢复
DOI：
10.14445/22315381/ijett-v14p232
复制
发表时间：
2014
影响因子：
--
通讯作者：
S. Datar
中科院分区：
文献类型：
--
作者：
M. Thakur;S. Datar
本文介绍了不同的基本技术用于图像恢复的性能分析。复原是将退化后的图像恢复到原始形态的过程。去除图像中的模糊和噪声是一个非常困难的问题。我们已经实现了三种不同的图像恢复技术，并在标准环境中测试了我们的实现模糊图像。我们用标准模糊函数和噪声得到了模糊图像。利用维纳反卷积、逆反卷积和Richardson-Lucy算法对退化图像进行了恢复。进一步，我们比较了不同的结果的基础上的PSNR和MSE值的恢复图像。最后得出结论。
This article presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by which an image suffering from degradation can be recovered to its original form. Removing blur and noise from image is very difficult problem to solve. We have implemented the three different techniques of image restoration and tested our implementation for the blurred image in the standard environment. We have obtained the blurred image with the standard blurring functions and the noise. The degraded images have been restored by the use of Wiener deconvolution, Inverse deconvolution and Richardson-Lucy algorithm. Further we have compared the different results on the basis of PSNR and MSE values of the restored image. Finally the conclusion is formulated.