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图像JPEG压缩算法,由8*8DCT变换,调用量化表进行量化,最后由Huffman编码完成算法,JPEG image compression algorithm, the 8* 8DCT transform, quantization table calls to quantify, and finally completed by the Huffman coding algorithm
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利用霍夫曼编码算法对数字图像进行压缩及解压缩处理,解压出来的图像与源图像几乎完全一致,峰值信噪比为无穷大,The use of Huffman coding algorithm for digital image compression and decompression processing, extracting images from the source image is almost exactly the same infinite PSNR
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This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
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This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
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This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
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Huffman and Shannon-Fano source coding
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huffman编码用于图像的压缩和解压,很好用的,可以用于各类图像的处理-huffman coding for image compression and decompression, useful, and can be used for all kinds of image processing
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本人自己编写的SPIHT程序,已经通过编译,适合图像的压缩。-I have written the huffman procedures are compile for image compression.
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(1)试利用函数dct2,对该图像进行压缩。压缩时可尝试对DCT 变换后的系数采用不同取舍方法,比较其压缩性能。(函数dct2在matlab本身是有的,可以help dct2看看)
(2)结合课本例8.7.2 的量化方法,对每一个经DCT变换后的8×8 矩阵量化(Huffman编码部分可省略),从而实现图像压缩。在一定压缩比的情况下,和⑴给出的图像质量相比较。
(3)用所给的子子程序fast_LOT.m 实现对该图像的变换与压缩,并和(1)得出的图像质量相比较-(1) Test usin
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对不同格式数字图像进行哈夫曼编码压缩,通过matlab软件仿真,最后得到了压缩图像,实现了本课题的基本要求。通过仿真得知哈夫曼编码为无损压缩。-Huffman coding digital image in a different format, by Matlab software emulation, finally got the compressed image, to achieve the basic requirements of this topic. Through simul
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The following Matlab project contains the source code and Matlab examples used for fractal image compression using quadtree decomposition and huffman coding. Image storage and transmission have created an increasing importance for the compression tec
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