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使用Matlab编程实现发送端信源编码（图像压缩）和接收端信源解码（图像重建），其中的编解码算法可采用基于DCT变换的JPEG图像压缩标准；测试图像加噪，然后对去噪后的图像进行压缩与重建，分析压缩性能；研究基于下采样和内插的图像压缩算法；可将8bit/pixel灰度图像扩展至24bit/pixel彩色图像，或者采用无损压缩算法对图像压缩。-Sender using the Matlab programming source coding (image compression) and the r
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该程序利用离散余弦变换（DCT）对JPEG图像进行压缩与解压缩-The program using the discrete cosine transform (DCT) for JPEG image compression and decompression
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对原始灰度图像 Lena_gray.bmp进行图像压缩实验 1．对此图进行 8×8 DCT 变换后，分别只保留 DC系数，以及保留前 4、8、16 个变换系数(DC＋AC) ，然后再分别进行 IDCT 变换，比较结果。 2．可以使用 Matlab - Image Processing Toolbox 中的函数实现。-gray image of the original image compression Lena_gray.bmp an experiment. This diagram 8 8
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共7个matlab程序及两幅原始待处理图像，功能是图像压缩的实验，分别运用了DCT（1个程序），小波变换（5个程序）和小波包变换（1个）对图像进行压缩，各个程序的作用及程序注释已在程序中做了详细说明,程序均可直接运行-matlab program for image compression ,using DCT wave,wavelet,wavelet packet methods respectively .
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this project demo consists of the DCT transform using image compression appllications.
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利用子程序fast-lot.m,实现对该图像的变化及压缩，并和以为信号做dct后的图像质量相比较。-Using subroutine fast-lot.m, to achieve the changes and compression of the image, and after, and that the signals do dct compare the image quality.
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利用DCT进行图像压缩（首先将图像分割成8×8的图像，对每个子图像进行DCT，这样每个子图像有64个系数，舍去50％小的变换系数，进行2：1的压缩。）-Using DCT for image compression (first image into 8 × 8 image, for each sub-image DCT, so that each sub-image by a factor of 64, rounding 50 of the small transform coefficie
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利用DCT变换对灰度图像进行压缩，求出压缩比；对比不同压缩比的图像。-DCT transform using grayscale image compression, the compression ratio obtained compare different compression ratio of the image.
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image compression using DCT
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JPEG compression in image processing using DCT
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L12_compresie_imagDCT conteins image compression algorithms using DCT
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image compression using dwt and dct
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image compression using descrete wavelet transform
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DCT转换用原图图像压缩的适合初学者，具有一定的参考价值-DCT transform image compression using artwork suitable for beginners, has a certain reference value
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CODE FOR COLOR IMAGE COMPRESSION USING QUANTIZATION ALORITHM. VECTOR QUANTIZATION.
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DCT图像压缩：此源代码变换域系数选取采用区域编码，通过非零区域的选择，呈现不同的恢复效果-DCT image compression: This source code transform domain coefficients using the selected coding region, by choosing a non-zero area, showing the effect of different recovery
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DCT and Image Compression
In the JPEG image compression algorithm, the input image is divided into
8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each
block. The DCT coefficients are then quantized, coded, and trans
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matlab program for image compression using dct
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matlab code for image compression using DCT and DWT
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