上传列表：

new huffman code.rar - new huffman coding in matlab,2020-12-31 02:18:18,下载1次
run-length.rar - run length coding in matlab,2020-12-31 02:17:38,下载0次
1.rar - arithmetci codeing in matlab,2020-12-31 02:01:23,下载0次
dcs code.rar - DCS matlab code finally,2020-12-31 01:51:09,下载2次
GNG code.rar - GNG final code in matlab,2020-12-31 01:49:38,下载0次

近期下载：

Adaptive.rar - adaptive forward scalar quantization
optimum_quantizer.rar - Matlab file for the optimum quantization of signals with plots to verify the process
VQLBG.rar - Vector Quantization Classifire with LBG
JND.zip - 求解JND模型，得到视觉感受阙值矩阵，以及图片 等等等等等等等
JND.zip - 经典的JND模型的原文，其中包括Barni,Waston,Zhang,Wei,Yang
JND_img.zip - 这个代码是用来对图像的像素域求每个像素的JND值的
just-noticeable-difference.rar - 用于计算图像每个像素点的恰可识别阈值（JND），该模型为Chou所提出。
jnd-using-wavelets.rar - In this paper, we propose a new perceptual model for balanced multiwavelet (BMW) transforms. The latter transform achieves simultaneous orthogonality and symmetry without requiring any input prefiltering. The proposed model is derived using multiresolution domain extensions of Chou’s model.
CSF.zip - 求图像的JND值，其中包括JND中三个要素分别的代码，和整合代码
JND.rar - 将watson的DCT视觉模型计算出来，能够得到每个8*8块的系数的JND值
jnd.rar - 计算DWT小波变换的JND值（恰可察觉性失真），用于图像水印的实现。以及DCT的水印实现
JND_codes.zip - Just Noticeable Difference for Images with Decomposition Model for Separating Edge and Textured Regions
MaxLoydQuantizer.rar - Implementation of a Max Lloyd quantizer using matlab for grey scale images. The quantizer uses random starting conditions and find the locally optimal quantizer levels.
lloyd_max.zip - dct- computes de discrete cosine transform for a matriz 8*8 from a picture.It receaves the point of the block where begin calculate, the tam of the block and the original picture... lLoyd-max- computes de lLoyd-max optimum quantizer for N bits.
lloyd-max-algorithm.rar - lloyd max algorithm is used to quantize an analog signal, uses euclidean distance condition to selectively choose the quantization levels.
lloydmax.zip - 一个基于Lloyd-Max算法的最优量化器程序，其中lloydmax为主程序
LBG.zip - Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of vectors, generally referred to as training set, is needed to be processed. Usually, vectors sampled from a group of typical signals to be encoded altogether construct a training set T={x1,x 2,?.x M} ,where xi represents a sampled training vector and M represents the size of training set which is far greater than the codebook size N.
VQ.rar - Compression and decompression VQ=vector quantization for image.
codes.zip - abt lbg algorithm using matlab
jpeg.zip - a source code for vector quantization using LBG algorithm

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