High-Resolution Reconstruction and Non-Uniformity Correction from Images Sequences Based on Poisson-Markov Model MAP

LIU Xiu; JIN Wei-qi; XU Chao

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High-Resolution Reconstruction and Non-Uniformity Correction from Images Sequences Based on Poisson-Markov Model MAP

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- High-Resolution Reconstruction and Non-Uniformity Correction from Images Sequences Based on Poisson-Markov Model MAP
- Acta Electronica Sinica Vol. 39, Issue 9, Pages: 2103-2107(2011)
- 作者机构：
  
  北京理工大学光电学院光电成像技术与系统教育部重点实验室,北京,100081
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2011
- 稿件说明：
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LIU Xiu, JIN Wei-qi, XU Chao. High-Resolution Reconstruction and Non-Uniformity Correction from Images Sequences Based on Poisson-Markov Model MAP[J]. Acta Electronica Sinica, 2011, 39(9): 2103-2107.
DOI：

LIU Xiu, JIN Wei-qi, XU Chao. High-Resolution Reconstruction and Non-Uniformity Correction from Images Sequences Based on Poisson-Markov Model MAP[J]. Acta Electronica Sinica, 2011, 39(9): 2103-2107. DOI：

摘要

红外焦平面阵列(IRFPA)的非均匀性校正是获得高性能热成像的基本保证

非均匀性校正(NUC)算法是当前国内外研究的重要方向.鉴于序列图像的超分辨力复原方法和基于场景的NUC算法都需要存在微位移的多帧序列目标场景图像

本文在Poisson和Markov分布假设的基础上

将超分辨力复原与NUC结合

针对存在非均匀性的红外低分辨力图像序列

研究提出了基于Poisson-Markov分布的最大后验概率(MPMAP)的序列红外图像高分辨力重建和非均匀性校正一体化处理算法.对仿真和实际热图像的处理结果表明

算法不仅可有效抑制随机噪声

实现高分辨力图像的复原

而且可有效地消除非均匀性噪声.

Abstract

Non-uniformity correction(NUC)of infrared focal plane array(IRFPA)is the development direction of the future and the basic guarantee to gain high quality thermal imaging system.As both super-resolution restoration and NUC algorithm based on scene need the micro-displacement that between image sequences

we propose super-resolution image restoration and non-uniformity correction algorithm based on Poisson and Markov model maximum a posteriori (MPMAP) focus on infrared low resolution image sequences with non-uniformity noise.The results of simulator image sequences and real infrared thermal image sequences show that the algorithm is presented not only has high super-resolution performance for the image degraded with random noise

but also eliminate the fixed pattern noise effectively.

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