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Image filter method based on maximal entropy principle

机译:基于最大熵原理的图像滤波方法

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This paper selects Haar wavelet as the basis, using the soft threshold method wavelet coefficients of compression processing, image filtering experiment is accomplished by wavelet compression de-noising method. The approach to determine the appropriate threshold coefficient affects the noise level directly, so the approach used to determine the threshold coefficient is very important. The maximum entropy principle is used to determine threshold coefficient in this paper. De-noising experimental results of a picture with noise shows that the method to determine the threshold coefficient through the maximum entropy principle and then wavelet compress de-noising is accomplished, which is used to complain combine the threshold coefficient through the maximum entropy principle and wavelet compression de-noising and the result is satisfied.
机译:本文选择Haar小波作为基础,利用软阈值法对小波系数进行压缩处理,通过小波压缩去噪方法完成图像滤波实验。确定适当阈值系数的方法直接影响噪声水平,因此用于确定阈值系数的方法非常重要。本文采用最大熵原理确定阈值系数。带有噪声图像的去噪实验结果表明,该方法通过最大熵原理确定阈值系数,然后进行小波压缩去噪,用于通过最大熵原理和小波组合阈值系数。压缩消噪,结果令人满意。

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