提出了基于模糊散度理论的图像置乱程度评价新方法。
The new image scrambling degree evaluation method based on fuzzy divergence theory is proposed.
在此基础上，提出了几种运动模糊图像清晰度评价函数，并研究了它们的优缺点和适用范围。
Based on that, some evaluation functions of motion blurred image are proposed, and their advantages and disadvantages are also discussed.
运动模糊图像清晰度评价函数是图像恢复中评价图像质量的一个重要判据。
Clarity evaluation function of motion blurred image is an important criterion for evaluating the quality of image restoration.
引入了模糊熵的方法来评价图像的增强效果，并对提出的正弦隶属度函数及广义模糊增强算子的特性进行了分析。
Fuzzy entropy is introduced to evaluate the enhancement effects and the characteristic of the sine membership function and generalized fuzzy enhancement operator is analyzed.
在此基础上，提出了几种运动模糊图像清晰度评价函数，并研究了它们的优缺点和适用范围。
Based on that, some evaluation functions of motion blurred image are proposed, and their advantages and disadvantages are also discussed. The mathematical models of these fun...
本文首次研究了在不同方向的图像灰度差的绝对值之和与图像运动模糊方向的关系。在此基础上，提出了几种运动模糊图像清晰度评价函数，并研究了它们的优缺点和适用范围。
The relationships in various directions between the function, the sum of absolute value of gray difference of image, and the motion blur direction are studied for the first time in this paper.
本文首次研究了在不同方向的图像灰度差的绝对值之和与图像运动模糊方向的关系。在此基础上，提出了几种运动模糊图像清晰度评价函数，并研究了它们的优缺点和适用范围。
The relationships in various directions between the function, the sum of absolute value of gray difference of image, and the motion blur direction are studied for the first time in this paper.
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