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chengxu
- 要:基于DCT图像压缩编码技术提出了用Marlab实现离散余弦变换的图像压缩方法，该方法具有方法 简单、速度快、误差小的优点，免去了大量的矩阵计算，既保证具有较高的压缩比，又保证了较好的 图像质量。-Realization of discrete cosine transform image compression using Marlab: Based on the DCT image compression coding techniques, this method has the
jpeg2bmp
- jpeg 解码的快速算法实现， 采用1d的dct实现2ddct-the jpeg decode fast algorithm using 1d the dct to achieve 2ddct
ann
- DCT公式实现、DCT矩阵实现、AAN快速算法实现，及时间比较。-The DCT formula realize DCT matrix to achieve, AAN fast algorithm to achieve, and spend more time.
2
- 实现图像处理中，实现对一幅灰度图像的快速傅立叶变换,并求其变换后的系数（幅度）分布，同时实现对一幅图像做离散余弦变换,选择适当的DCT系数阈值对其进行DCT反变换 -Realize image processing, to achieve the fast Fourier transformation of a grayscale image, and determine the distribution of its transform coefficients (amplitude), wh
pinyu-bianhuan
- 实现了在matlab下音频信号的dct(离散余弦)和fft(傅里叶变换)相对matlab工具箱，有快速准确的效果。-Realized the dct (discrete cosine) of the audio signal in matlab fft (Fourier transform) relative matlab toolbox, fast and accurate results.
DCTdenoising_cpp
- 离散余弦变换去噪算法，简单快速，效果出众的频域去噪算法，C++ 源码-DCT denoising algorithm, a fast and outperform algo in freq domain，C++ source code
jfdctfst
- This file contains a fast, not so accurate integer implementation of the forward DCT (Discrete Cosine Transform) for Linux.
fractal-nosearch-method
- A new modified fast fractal image compression algorithm *** nosearch method with 3 stages quadtree in DCT domain-A new modified fast fractal image compression algorithm *** nosearch method with 3 stages quadtree in DCT domain
autodetection
- 基于DQ效应的JPEG图像真伪检测算法，通过检测图像DCT直方图的DQ效应计算图像的概率图，该算法快速、准确，能自动定位篡改区域-JPEG image detection algorithm based on the authenticity of DQ effect, calculated image by DQ effect detection probability map image DCT histogram, the algorithm is fast, accurate, and
61610
- Skew detection and correction is very important task before pre-processing of an image and it is a major problem in scanned documents, if it not detected correctly it will lead wrong result in future during image analysis. During the scanning of th
deskew-110
- Skew detection and correction is very important task before pre-processing of an image and it is a major problem in scanned documents, if it not detected correctly it will lead wrong result in future during image analysis. During the scanning of th