改进块匹配与初始估计的POCS图像重建
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中国科学技术大学电子工程与信息科学系 合肥 230027,中国科学技术大学电子工程与信息科学系 合肥 230027

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国家自然科学基金项目(面上项目,重点项目,重大项目)


The Improvement Of Block-matching AndInitial Estimation For POCS Image Reconstruction
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Department of Electronic Engineering and Information Science,University of Science and Technology of China

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The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    POCS(凸集投影)算法进行图像超分辨率重建时,图像配准和初始估计对重建结果有重要影响。为解决传统块匹配算法小块匹配易受噪声干扰,大块匹配对运动对象跟踪不精确的问题,本文以空间十字频率法判断图像的平坦程度,根据图像平坦度进行匹配块的分割,实现了匹配块大小的动态选择;针对单帧初始估计包含信息量少的不足,将所有已知低分辨图像与插值图像配准,以最优插值法作用后的插值图像作为初始估计。实验证明,改进的配准算法消除了固定块配准方式在噪声和局部运动同时存在时的不足,且算法简单,运算量较小;新的初始估计生成方式则提高了初始估计的峰值信噪比,加快了重建的收敛速度。

    Abstract:

    In the process of reconstructing super-resolution images by POCS algorithm, Image registration and initial estimation have important influence on the result of reconstruction.For solving the problem that the small block matching is liable to be interfered by noise and the big block matching can’t track the local moving objects accurately, a method to determine the spatial flatness of the image and divide the blocks according to the flatness of the image is provided.It can change the block size dynamically;As the initial estimation for the single frame is lack of enough information, we use all known low-resolution image to register the interpolated image.Then the initial estimation is generated by the optimal interpolation method.Experiments show that the improved matching algorithm reduces the influence of noise and local motion on block-matching accuracy and it’s also very sample.The new algorithm also improve the PNSR of the initial estimation and speeds up the convergence.

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刘常云,倪林.改进块匹配与初始估计的POCS图像重建[J].数据采集与处理,2013,28(1):

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历史
  • 收稿日期:2011-09-23
  • 最后修改日期:2012-02-02
  • 录用日期:2012-05-07
  • 在线发布日期: 2013-05-27