Super-Resolution Image Restoration Algorithm Based on Poisson-Markov Model

SU Bing-hua; JIN Wei-qi

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Super-Resolution Image Restoration Algorithm Based on Poisson-Markov Model

更新时间：2025-07-16

- Super-Resolution Image Restoration Algorithm Based on Poisson-Markov Model
- Acta Electronica Sinica Vol. 31, Issue 1, Pages: 63-67(2003)
- 作者机构：
  
  北京理工大学光电工程系,北京,100081
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2003
- 稿件说明：
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SU Bing-hua, JIN Wei-qi. Super-Resolution Image Restoration Algorithm Based on Poisson-Markov Model[J]. Acta Electronica Sinica, 2003, 31(1): 63-67.
DOI：

SU Bing-hua, JIN Wei-qi. Super-Resolution Image Restoration Algorithm Based on Poisson-Markov Model[J]. Acta Electronica Sinica, 2003, 31(1): 63-67. DOI：

摘要

图像的超分辨力复原和信噪比的提高是图像复原追求的目标.Poisson-ML图像复原方法(PML)具有很强的超分辨力复原能力

但在复原过程中会产生振荡条纹且对带噪较大的图像不能取得理想的复原效果.在Poisson和Markov分布假设的基础上

提出基于Poisson-Markov场的超分辨力图像复原算法及其正则化参数的自适应选择方法(MPML).实验表明

MPML算法不但具有很好的超分辨力复原能力

而且能有效减少和去除复原图像中的振荡条纹

对于带噪较大的图像也能取得理想的复原效果

因此其图像复原质量明显好于PML算法.正则化参数能被自动优化地选择且与图像复原的迭代运算同步进行.

Abstract

The aim of image restoration is to achieve super-resolution and increase signal-noise ratio.Poisson-ML image restoration algorithm (PML) has high super-resolution performance

but introduces oscillatory artifacts in the restored image and can not get a ideal restoration result for the noisy image.Super-resolution image restoration algorithm based on Poisson and Markov model as well as the adaptive choice method of the regularization parameter (MPML) is proposed through the assumption of Poisson and Markov random field.Experiments demonstrate that MPML not only has high super-resolution performance

but also can effectively reduce and remove oscillatory artifacts in restored images

and get ideal restoration result for the noisy image.The significantly improved restoration results are obtained using MPML compared with PML.The regularization parameter can be automatically and optimally chosen in step with the restoration of the degraded image.

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