计算机应用 ›› 2010, Vol. 30 ›› Issue (2): 341-343.

• 图形图像处理 • 上一篇    下一篇

基于联合插值—恢复的超分辨率图像盲复原

谢颂华1,陈黎2,聂晖2   

  1. 1. 武汉理工大学
    2.
  • 收稿日期:2009-07-30 修回日期:2009-10-02 发布日期:2010-02-10 出版日期:2010-02-01
  • 通讯作者: 谢颂华
  • 基金资助:
    国家自然科学基金资助项目

Blind image super-resolution restoration based on joint interpolation-restoration scheme

  • Received:2009-07-30 Revised:2009-10-02 Online:2010-02-10 Published:2010-02-01
  • Contact: Xie Songhua

摘要: 常规的超分辨复原方法需要预知退化图像的点扩展函数,但实际应用中许多退化图像的点扩展函数是未知的,因此提出一种新的超分辨率图像盲复原算法,在点扩展函数未知或不确知的情况下对图像进行恢复。该联合插值—恢复的超分辨率图像盲复原方法,利用多信道盲复原估计未知的点扩展函数,迭代运用帧间相似性确定模糊特性,同时结合超分辨率方法得到高分辨率图像。实验结果表明,该算法能有效地实现超分辨率图像的盲复原。

关键词: 图像复原, 点扩展函数, 超分辨率, 插值

Abstract: The primary motivation for developing the blind algorithm is due to the observation that most existing Super-Resolution (SR) methods assume the point spread function are known in advance, which may not be true in many real-world applications. In view of this, this paper presented a novel blind SR algorithm to enhance image resolution without knowledge of the point spread function. The authors formulated the SR problem into a new framework of joint interpolation-restoration scheme. The main contribution of this method was the development of multi-channel blind restoration to estimate the unknown point spread function, and its integration into the SR scheme to render High-Resolution (HR) images. The blurs were identified iteratively with the utilization of inter-frame blur similarity. Experimental results show that the new algorithm is effective in performing blind SR image reconstruction.

Key words: image restoration, point spread function, super-resolution, interpolation