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本程序是用matlab写的，实现对图像进行二维预测与Lloyd-Max量化压缩。是有损压缩。附有程序所用的图片。-The program is written in matlab to achieve two-dimensional projections of images and Lloyd-Max Quantization. Is a lossy compression. With a program with pictures.
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有损图像压缩的matlab程序实现，通过dct变换，霍夫曼编码，译码，比较压缩后图像与原图。-lossy image compression
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基于Lossy-to-Lossless Image
Compression Based on Reversible Integer TDLT/KLT的压缩算法的matlab实现，在增加ROI编码模块，算法详细可以查看论文《Lossy-to-lossless image compression based on multiplier-less
reversible integer time domain lapped transform》。程序由main.m函数开始运行，输入参数有3个，分
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Image Compression by:
1) Use Adobe Photoshop to Compress images using LZW algorithm (i.e. lossless technique).
2) Use MATLAB to Compress images using JPEG algorithm (i.e. lossy technique) and Assess objectively the quality of the compressed
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Jpeg algorithm is lossy compression algorithm can be used in matlab
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Context-adaptive binary arithmetic coding (CABAC) is a form of entropy encoding used in the H.264/MPEG-4 AVC and High Efficiency Video Coding (HEVC) standards. It is a lossless compression technique, although the video coding standards in which it is
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