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The QccPackSPECK module is a optional addon to the QccPack library for
the quantization, compression and coding of data. -The QccPackSPECK module is a optional addon to the QccPack library for
the quantization, compression and coding of data.
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this module gives a basic image compression example
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vc 典型模块 是一个图像压缩显示的程序-vc typical module is shown in an image compression program
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The code implements the following paper:
Guorong Xuan, Jiang Zhu, Jidong Chen, Shi Y.Q., Zhicheng Ni, Wei Su, "Distortionless data hiding based on integer wavelet transform" IET Electronics Letters, Volume: 38, Issue 25, page 1646- 1648, Decembe
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ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
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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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该算法是最优化算法中处理图像的较为常用的算法，适合初学者-Image files constitute a majority of total web traffic.[17]
Unlike text-based web file formats, binary image files do not benefit from
built-in webserver-based HTTP gzip compression.
imgmin offers an aut
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propose a novel joint data-hiding
and compression scheme for digital images using side match
vector quantization (SMVQ) and image inpainting. The two
functions of data hiding and image compression can be integrated
into one single module seam
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包括压缩比、运行时间和计算复原图像的峰值信噪比,gmcalab 快速广义的形态分量分析，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, gmcalab fast generalized form component analysis, PV modules contain, MPPT modu
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利用matlab写成的窄带噪声发生，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Using matlab written narrowband noise occurs, PV modules contain, MPPT module, BOOST module, inverter module, Including the final calculation of the compressed image peak signa
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