A Self-adaptive Image Restoration Algorithm Based on Image Quality Assessment

LI Meng; LI Jun-shan; ZHANG Shi-jie; YANG Ya-wei; SUN Xin-li

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A Self-adaptive Image Restoration Algorithm Based on Image Quality Assessment

更新时间：2026-09-04

- A Self-adaptive Image Restoration Algorithm Based on Image Quality Assessment
- Vol. 30, Issue 11, Pages: 76-79(2013)
- 作者机构：
  
  1. 第二炮兵工程大学信息工程系,陕西,西安,710025
  2. 第二炮兵工程大学通信站,陕西,西安,710025
  3. 96215部队,广西,柳州,545616
- 作者简介：
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- Published：2013
- 稿件说明：
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李孟, 李俊山, 张士杰, 杨亚威, 孙新立. 一种基于图像质量评价的自适应图像复原算法[J]. 微电子学与计算机, 2013, 30(11): 76-79.

LI Meng, LI Jun-shan, ZHANG Shi-jie, et al. A Self-adaptive Image Restoration Algorithm Based on Image Quality Assessment[J]. 2013, 30(11): 76-79.
李孟, 李俊山, 张士杰, 杨亚威, 孙新立. 一种基于图像质量评价的自适应图像复原算法[J]. 微电子学与计算机, 2013, 30(11): 76-79. DOI：

LI Meng, LI Jun-shan, ZHANG Shi-jie, et al. A Self-adaptive Image Restoration Algorithm Based on Image Quality Assessment[J]. 2013, 30(11): 76-79. DOI：

摘要

针对图像盲复原过程中出现的振铃效应，提出了一种基于图像质量评价的自适应图像复原算法。首先设计了一种基于梯度的复原图像质量评价方法，可以对复原图像的清晰度和振铃效应进行综合评价；然后，将评价方法用于模糊图像点扩展函数尺寸估计，并将估计出的点扩展函数作为迭代盲复原算法的初始点扩展函数；最后，迭代复原模糊图像，对每次迭代得到的复原图像进行质量评价，检测到复原图像质量评价指标下降后自动停止迭代，质量评价指标最高的复原图像就是最终结果。仿真实验结果表明，此复原图像质量评价方法所得结果与人眼视觉相符，点扩展函数尺寸估计准确，复原图像质量较高、振铃效应得到了较好地抑制。

Abstract

A self-adaptive image restoration algorithm based on image quality assessment is put forward to suppress the ringing effects which occur in blind image restoration.Firstly

we propose an image quality assessment based on gradient

which can assess both image definition and ringing effects.Then

we utilize the assessment to estimate PSF (Pointer Spread Function) size and treat the estimated PSF as the initial PSF of the iterative blind deconvolution (IBD) algorithm.Finally

we restore the blurred image iteratively and assess the quality of the restored image at the end of each iteration

the iteration stops as soon as the assessment becomes decreasing

the final restored image is the one with the highest assessment metric.The results of the simulated experiments show that the restored image quality assessment method in this paper is consistent with human perception

the estimated PSF size is accurate

the restored image quality is high and the ringing effects is restrained.

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