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TRW_S-v1.1
- The two algorithms are max-product belief propagation (BP, Pearl 88) and sequential tree-reweighted max-product message passing (TRW-S, Kolmogorov 05)
PCA-based-matlab
- 基于PCA算法的人脸识别，使用ORL人脸数据库做实验，识别率为88 -PCA algorithm-based face recognition using ORL face database experiment, the recognition rate of 88
digital-image-processing1-88
- 数字图像处理与机器视觉 Visual C 与Matlab实现-Digital image processing and machine vision Visual C and Matlab implementation
digital-image-processing-88-188
- 数字图像处理与机器视觉 Visual C++与Matlab实现-Digital image processing and machine vision Visual C++ with Matlab implementation
DCT-watermark-
- DCT域图像隐藏，基于DCT系数关系的图像水印算法，88分块后比较选定的两个系数的大小以此来隐藏1或者0.-DCT domain image hiding, based on the relationship between the DCT coefficients image watermarking algorithm, 88 blocks selected after comparing the size of the two coefficients in order to hide o
t4_4
- 利用离散余弦变换函数（dct2和idct2）模拟JPEG压缩过程。 对“lena.bmp”做压缩，观察压缩效果。（JPEG压缩过程： 首先把原始的图像划分为8×8的子图像，然后利用dct2分别 对各个子图像进行离散余弦变换，对变换系数仅保留左上角15个值， 然后利用这15个系数进行离散余弦反变换重新得到各个子图像，再 将子图像拼接成完整图像） -Using discrete cosine transform function (dct2 and idct2) analog JPEG co
picture
- 利用函数dct2，对图像进行压缩。并使用量化方法，对每一个经DCT变换后的8×8 矩阵量化，从而实现图像压缩。-Use function dct2, the image compression. And the use of quantitative methods, each DCT transformed matrix 88 after quantization, in order to achieve image compression.
coefficient_Divides
- 把一幅图象分为88块的MATLAB程序,改动系数,可以实现任意块的分割-Divides an image into 88 pieces of MATLAB, the modification coefficient, can realize arbitrary block segmentation