运动模糊图像复原算法的改进及性能研究*

为提高运动模糊图像复原算法的有效性和实时性,分析了常见图像复原算法的优缺点。在此基础上,提出了一种基于小波分解和维纳滤波相结合的图像复原算法。新算法充分利用了小波变换的多分辨率分析特性和维纳滤波复原算法的高效性,既有效抑制了噪声,又减小了图像的灰度失真。仿真结果表明,本文算法不仅提升了图像复原质量,也能满足系统实时性的要求,是一种有效的图像复原算法。

Improvement and Performance Research of Motion Blurred Image Restoration Algorithm

In order to improve the effectiveness and real-time performance of motion blurred image restoration algorithm, the advantages and disadvantages of common image restoration algorithm are discussed in this paper. After that, a new image restoration algorithm based on Wiener filtering and wavelet decomposition is proposed. The multi-resolution analysis of wavelet transform and the efficiency of Wiener filtering are made full use of by the new algorithm. Therefore, the noise and grayscale distortion of the motion blurred image is restrained. Simulation results show that the proposed algorithm is an efficient image restoration algorithm, which promotes the quality of image restoration and meets the requirements of real-time system.