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数字图像处理骨架提取，能将一个二值图像的骨架提取出来进行后续处理。骨架是一种非常重要的图像几何特征，在图像几何形态分析及相关领域具有非常广泛的应用，利用骨架表示原始图像，可以在保持图像重要拓扑特征的前提下，减少图像中的冗余信息。骨架既能压缩图像数据，保留区域的连通性和拓扑性，描述区域轮廓的几何特征，又能使原始图像完全或部分地从骨架中恢复或重构。-Skeleton extraction of digital image processing, to a binary image of the sk
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用小波变换和LGB编码的方法压缩黑白图片。对图像进行小波变换后，仅对细节系数进行压缩，而且不同小波变换层的细节系数的压缩程度不一样。-Using wavelet transform and coding method LGB compress black and white picture. After the wavelet transform of the image, only the details of the coefficient is compressed, and differ
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2D-DCT 压缩图像后，通过QPSK,AWGN信道编码传输后，IDCT解压缩回原始图像，适用于任何图像-Using DCT to compress the orginal image, I use zigzag program, quantization, dct compression, then change the vector to bineary bit to pass through the QPSK channel. And from the binary array, I us
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DCT-based Data hiding: dataHide.m Hide the logo image into the original
dataExtract.m Extract the logo image from the original findData.m Verify the robustness of the data hiding method 。and use jpeg compress
-DCT-based Data hiding: dataHide.m H
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this code is matlab and compress image by ann.
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for using this code need to use signal toolbox and general toolbox in your matlab
Using Daubechies transform to compress the image (showing remaining coefficen of Thresholded Image)
and then using Inverse 2D Daubechies transform and finding t
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在matlab平台上压缩并解压图像，对图像压缩的学习有帮助，包含多个例子，内容丰富(Compress and unzip the image)
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