Abstract: To overcome the degradation phenomenon caused by blurring and distortion during the process of image transmission and capture, a degradation image restoration algorithm based on L-R nonlinear iteration is proposed. The model of image degradation and restoration process is established, and the relative evaluation rules are described. Simulation results show that compared with the traditional Wiener filtering, ideal image restoration results can be achieved by this algorithm in the condition where multiple random noises exist.

Key words: image restoration, L-R algorithm, Point Spread Function(PSF), nonlinear iteration

摘要： 为克服图像传输和获取过程中受模糊、失真等因素影响所造成的图像降质，提出一种基于L-R非线性迭代的降质图像复原算法。建立图像退化和恢复模型，并给出复原图像的评价测度。仿真实验结果表明，与传统的维纳滤波相比，该算法在存在多种随机噪声的情况下，能达到较好的图像复原效果。

关键词: 图像复原, L-R算法, 点扩散函数, 非线性迭代

CLC Number: 

• TN911.73