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程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
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该程序（jpeg_quality_score）是基于matlab平台，NR中精典算法，对JPEG压缩格式的图像进行客观评价-The program (jpeg_quality_score) is based on matlab platform, NR in the classical algorithm for JPEG image compression format to conduct an objective evaluation
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The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet.
1. Reading an image of either gray scale or RGB image.
2. Converting the image into grayscale if the image is RGB.
3. Decomposition of im
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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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P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
P030
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应用压缩感知理论的图像恢复Matlab算法代码-The application image compression perception theory Recovery Matlab algorithm code
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利用matlab软件实现haar小波对图像的压缩与重构-Matlab software haar wavelet image compression and reconstruction
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可以完成灰度图像的算术编码和解码,来完成二维图像在matlab中的压缩处理-You can complete the grayscale image arithmetic encoding and decoding, to complete the two-dimensional image compression processing in matlab
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Image Compression
A collection of simple routines for image compression using different techniques.
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTCOMPR:
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图像的matlab处理，包含图像的压缩，zigzag算法应用，图像加密，图像解密等-Matlab image processing, compression containing images, zigzag algorithm, image encryption, decryption image
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用matlab实现MPEG压缩编码，对图像编码率失真性能进行分析，比较不同类型静态图像编码效率。
-Using Matlab to achieve MPEG compression coding, image coding rate distortion performance analysis, compare the different types of static image coding efficiency.
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