Estimation of PSF for a Shaking Blurred Image Using GA

Takumi Shimomukai, M. Yoshioka, H. Yanagimoto
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引用次数: 1

Abstract

Development of downsized digital cameras causes a lot of undesirable shaking blurred images. In order to restore these images, we need to estimate the PSF (Point Spread Function) from them. It has been proposed to estimate the PSF using cepstrum images. There are the PSF features in the cepstrum images of blurred images. We can estimate the PSF by searching pixels in the cepstrum images. However, cepstrum images also show features of ground truth images which don't have effects from shaking, so we can't estimate the PSF accurately. We propose an estimation method of the PSF by using GA.We adopt the cepstrum images as a fitness function,thus the estimation results aren't affected by other features in cepstrum images.We have just confirmed the effectiveness of our proposed method by using some simulations.
用遗传算法估计抖动模糊图像的PSF
数码相机小型化的发展导致了许多令人讨厌的抖动模糊图像。为了恢复这些图像,我们需要从它们中估计PSF(点扩散函数)。有人提出用倒谱图像估计PSF。模糊图像的倒谱图像中存在PSF特征。我们可以通过搜索倒谱图像中的像素来估计PSF。但是倒谱图像也表现出地真图像不受震动影响的特征,因此无法准确估计PSF。提出了一种基于遗传算法的PSF估计方法。我们采用倒谱图像作为适应度函数,因此估计结果不受倒谱图像中其他特征的影响。我们刚刚通过一些仿真验证了我们提出的方法的有效性。
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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