计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (34): 35-37.

• 学术探讨 • 上一篇    下一篇

一种自适应的MAP超分辨率复原算法

王 伟,彭国华,赵 丛   

  1. 西北工业大学 应用数学系,西安 710072
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-12-01 发布日期:2007-12-01
  • 通讯作者: 王 伟

Adaptive super-resolution restoration method based on MAP

WANG Wei,PENG Guo-hua,ZHAO Cong   

  1. Department of Applied Mathematics,Northwest Polytechnical University,Xi’an 710072,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-12-01 Published:2007-12-01
  • Contact: WANG Wei

摘要: 提出一种图像超分辨率复原算法,该算法考虑了运动矢量和点扩散函数估计不精确的情况。由于估计的不精确造成每帧低分辨率图像具有不同的噪声,算法根据各帧低分辨率图像的可靠性,相应地给它们赋予不同的权值,应用梯度下降法不断对权值及高分辨率图像进行更新。实验结果表明该算法较传统的MAP算法具有更好的复原效果。

关键词: 超分辨率, 图像复原, 运动参数

Abstract: Proposes an image super-resolution algorithm that takes into account inaccurate estimates of the registration parameters and the point spread function.There inaccurate estimates result in different noise level for each Low-Resolution(LR) frames.In the proposed algorithm,the LR frames are adaptively weighted according to their reliability.Using gradient descent optimization procedure,the weights are iteratively updated along with the high-resolution image.Experiment results indicate that this method is better than the conventional MAP methods on objective statistical analysis.

Key words: super-resolution, image restoration, registration parameters