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A method based on Wavelet Transform and Discrete K-L Transform for Color Image filtering

机译:基于小波变换和离散K-L变换的彩色图像滤波方法

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A new method of removing random noises in color images is described in this paper. It is based on wavelet transform combines with discrete K-L transform. The basic principle of the new method is that a color image is transformed from the RGB color space into a new space (JKL space) by discrete K-L transform in which the three components J, K and L are irrelevant; Then the color image is filtered in JKL space by wavelet transform; Finally, the color image after filtering is transformed into RGB space to display. Based on this method, the removing random noise from color image is simulated by Matlab. The experiment results show that the new method is better than the traditional transform method and can improve the effect of disposal.
机译:本文介绍了一种消除彩色图像中随机噪声的新方法。它基于小波变换和离散K-L变换的结合。该新方法的基本原理是通过离散K-L变换将彩色图像从RGB颜色空间转换为新空间(JKL空间),其中三个分量J,K和L不相关。然后,通过小波变换在JKL空间中对彩色图像进行滤波。最后,将过滤后的彩色图像转换为RGB空间进行显示。基于这种方法,用Matlab模拟了从彩色图像中去除随机噪声的过程。实验结果表明,该新方法优于传统的变换方法,可以提高处理效果。

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