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Matlab环境下的几个数字图像处理实验，包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Matlab environment, several digital image processing experiments, including the image gray level transformation, histogram equalization, histogram matching, neighborhood average, local
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图像在传输过程中，传递函数对高频成分有衰减作用，造成图像模糊，细节轮廓不清楚。图像锐化就是补偿图像的轮廓，增强图像的边缘及灰度跳变的部分，使图像变得清晰。亦分空域处理和频域处理两类[3]。-Image in the transmission process, the transfer function of the role of high frequency components are attenuated, resulting in image blurring, the details
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为了减小传统的反锐化掩模算法对噪声的敏感性，提出了一种新的反锐化掩模图像
增强算法，该算法在图像的平坦区域进行去噪处理，并依据人眼视觉特性对图像的不同细节
区域做不同程度的增强。通过几种算法的实验结果比较，表明本算法不仅增强效果较好，且
抑制了噪声的增强。-In order to reduce the traditional unsharp masking algorithm sensitivity to noise, a new Unsharp Masking image enha
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基于小波变换应用的matlab程序，包含图像增强，图像分解，图像去噪，图像融合等-Applications based on wavelet transform matlab program, including image enhancement, image decomposition, image denoising, image fusion
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MATLAB图像处理-基于高频强调滤波和直方均衡化图像增强-MATLAB image processing- based on high frequency emphasis filtering and histogram equalization image enhancement
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Fractional differential mask operator in image enhancement in the application of core code, based on MATLAB
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