Implementation of restoration of blurred image using blind deconvolution algorithm

Punam Patil, R. B. Wagh
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引用次数: 8

Abstract

Image Restoration is a field of Image Processing in which recovering an original and sharp image from a degraded image. Purpose of this paper is to restore the blurred images using blind deconvolution algorithm with canny edge detector. Initially original image is blurred using Gaussian filter. Then in the edges of the blurred image, the ringing effect can be detected using Canny Edge Detection method and then it can be removed before restoration process. Blind Deconvolution algorithm is applied to the blurred image to get reconstructed image. Blind Deconvolution Algorithm is used effectively when no information of distortion is known. It restores image and PSF at the same time.
利用盲反卷积算法实现模糊图像的恢复
图像恢复是图像处理的一个领域,从退化的图像中恢复出原始的、清晰的图像。本文的目的是利用带canny边缘检测器的盲反卷积算法对模糊图像进行恢复。首先用高斯滤波对原始图像进行模糊。然后利用Canny边缘检测方法在模糊图像边缘检测出振铃效应,并在恢复前将其去除。对模糊图像采用盲反卷积算法得到重建图像。在不知道失真信息的情况下,盲反卷积算法是有效的。它恢复图像和PSF在同一时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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