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Research on Blind Image Restoration Based on Two Dimensional Constant Modulus Algorithm

机译：基于二维恒模算法的盲图像恢复研究

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摘要

Aiming at the defects of existing image restoration algorithms, the image restoration algorithm based on two dimensional constant mo.dulus blind equalization algorithms is proposed. In this proposed algorithm, the constant modulus blind equalization algorithm with fast convergence and small mean square error is extended from one-dimension to two-dimension, it is applied to two-dimension image blind restoration, and its convergence speed is independent of the initial condition. After the degraded imagas of pollution or the fuzzy images are processed by the proposed algorithm, the image quality is greatly improved. The simulation tests show that the proposed algorithm is better than one-dimensional CMA in image blind restoration.
机译：针对现有图像恢复算法的缺陷，提出了基于二维常数Mo.dulus盲均衡算法的图像恢复算法。在这种提出的算法中，具有快速收敛性和小均方误差的恒定模量盲均衡算法从一维到二维延伸，它应用于二维图像盲恢复，其会聚速度与初始速度无关健康）状况。在通过所提出的算法处理的污染或模糊图像的降级图像之后，大大提高了图像质量。仿真试验表明，所提出的算法在图像盲恢复中优于一维CMA。

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