Multiframe Myopic Deconvolution for Short Exposure Images

SHAO Hui; WANG Jian-ye; XU Peng; YANG Ming-han; ZHOU Chun

doi:10.3969/j.issn.0372-2112.2014.10.038

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Multiframe Myopic Deconvolution for Short Exposure Images

更新时间：2025-07-16

- Multiframe Myopic Deconvolution for Short Exposure Images
- Acta Electronica Sinica Vol. 42, Issue 10, Pages: 2110-2116(2014)
- 作者机构：
  
  1. 中国科学院核能安全技术研究所,安徽,合肥,230031
  2. 安徽建筑大学电子与信息工程学院,安徽,合肥,230601
  3. 中国科学院核能安全技术研究所,安徽,合肥,230031
  4. 安徽建筑大学电子与信息工程学院,安徽,合肥,230601
- 作者简介：
- 基金信息：
  
  Provincial Natural Science Project of Universities in Anhui Province (No.KJ2013B052, No.KJ2013B065)
- DOI：10.3969/j.issn.0372-2112.2014.10.038
  CLC： TN911.73
- Published：2014
- 稿件说明：
移动端阅览
SHAO Hui, WANG Jian-ye, XU Peng, et al. Multiframe Myopic Deconvolution for Short Exposure Images[J]. Acta Electronica Sinica, 2014, 42(10): 2110-2116.
DOI：

SHAO Hui, WANG Jian-ye, XU Peng, et al. Multiframe Myopic Deconvolution for Short Exposure Images[J]. Acta Electronica Sinica, 2014, 42(10): 2110-2116. DOI： 10.3969/j.issn.0372-2112.2014.10.038.

摘要

本文提出一种频域压缩多帧近视解卷积算法.首先

根据波前传感器获取的大气湍流相位估计短曝光图像的初始点扩展函数

并逐步将点扩展函数调整到准确形式.通过共轭梯度(CG)算法交替解卷积频域代价函数估计目标图像和点扩展函数

为了有效压缩信息量

将图像频谱比增加到代价函数中

同时施加基本约束保证迭代快速收敛于全局最小解

采用结构自适应滤波器(SAAF)达到消除噪声的同时保护重建图像细节.实验结果表明算法能够得到高质量的重建图像

性能优于所对比多帧Tikhonov正则化解卷积和多帧Richardson-Lucy的盲解卷积算法.

Abstract

A compact multiframe myopic deconvolution algorithm in the frequency domain is described that utilizes multiframe short exposure images and the corresponding turbulent atmosphere phases from wave front sensing.Firstly

the algorithm employs the estimated point spread functions (PSFs) based on the turbulent atmosphere phases to adjust to be better correct forms gradually.The cost function that uses Fourier spectral ratio to reducing the number of unknown variables is minimized alternately to restore the object image and estimate PSFs by conjugate gradient algorithm.To diminish noise amplification in the frequency domain and avoid the reconstructed image turning to be a local minimum

the structure-adaptive applicability filter (SAAF) and multiple basis constraints are used.Computer simulations are conducted to investigate the performance of the proposed method offer the possibility of improved object reconstructions over multiframe Tikhonov regulation deconvolution and multiframe Richardson-Lucy deconvolution.

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