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bianmashiyan
- 数字图像处理实验 根据原图像的直方图，发现背景和目标的分割值大约在130左右，并将灰度图像转为二值图像，分割效果比较理想。 图像处理实验（六）图像压缩与编码 实验目的： 学习JPEG压缩编码 实验内容： 一．实现基本JPEG的压缩和编码分三个步骤： 1． 首先通过DCT变换去除数据冗余； 2． 使用量化表对DCT系数进行量化； 3． 对量化后的系数进行Huffman编码。-digital image processing experiments based on
jpg_DCT
- 实现基本JPEG的压缩和编码 ％ 1． 首先通过DCT变换去除数据冗余； ％ 2． 使用量化表对DCT系数进行量化； ％ 3． 对量化后的系数进行Huffman编码。 -achieve basic JPEG compression and coding% 1. First through DCT remove data redundancy; % 2. Using quantitative table right DCT coefficient quantization; 3.
se
- 用VC++实现的数字图像处理研究在信息处理和信息传输中,为了提高处理和传输的效率并减少信息损失量,需要将大量信息进行压缩编 码. 数字图像处理中的变换域压缩编码技术是将图像信号以图像数据块为单位作二维变换,然后对各变换系数逐 个地进行量化和编码,达到压缩信息的作用. 离散余弦变换(DCT)在实数域中得到变换结果,并且有快速算法.-Using VC++ to achieve the digital image processing research in information proce
mine
- 利用C、C＋＋或者MATLAB对一张照片进行DCT和DFT变换，并进行简要分析。 比较保留20个DCT变换系数重构的图像与原始图像之间的差别-Use C, C++ or MATLAB to carry out a photo on the DCT and the DFT transform, and a brief analysis. Comparison of retention of 20 DCT transform coefficients of image reconstructio
li3-15
- 对图像进行钝化，分别保存用DCT和小波方法的变换系数-Passivation of the image were saved using DCT and Wavelet transform coefficients
li3-16
- 图像锐化实例，分别保存用DCT和小波方法的变换系数-Image sharpening examples, save the use of DCT and Wavelet transform coefficients
img_encoding
- Discrete Cosine Transform (DCT) and quantization are two critical parts in image encoding. By discussing how coefficients retaining and quantization step selection influence the quality of the reconstructed image, this homework helps to understand th
A.Blind.and.Robust.Watermarking.Scheme
- Abstract- H.264/AVC is becoming a popular video codec for its better compression ratio, lower distortion and applicability to portable electronic devices. Thus, issues of copyright protection appropriate for this standard become very importan
2dct
- The DCT transforms a signal from a spatial representation into a frequency representation. Lower frequencies are more obvious in an image than higher frequencies so if we transform an image into its frequency components and throw away a lot of higher
assign3_m100295cs
- a) On sample artificial, 8X8 / 16X16 images, take the DFT, DCT, WT, & HT. Print the image & transform matrix side by side b) Repeat the above on real images of size 256X256, and display the transform coefficients as 8-bit intensity images along
PMatermarkingr
- 提出一种基于DWT和DCT域的有意义二值图像数字水印算法 利用Arnold变换对水印序列进行置乱,消除象素的空间相关性,增加水印的安全性 而结合小波波变换和离散余弦变换的特性,将水印信息嵌入到图像变换域的低频和中频系数中,提高水印的鲁棒性和不可见性 实验证明该算法具有较好的抗压缩、抗噪音和抗剪切性。 -Making meaningful binary image digital watermarking algorithm based on DWT and DCT domain using
dctsample
- This a sample file. It illustrates basic functionality of Dicrete Cosine Transformation.Excellent energy compaction can be obtained using varying DCT coefficients.-This is a sample file. It illustrates basic functionality of Dicrete Cosine Transforma
shuangchongJEPG
- 由于图像在经过一次 JPEG 压缩和双重 JPEG 压缩之后其 DCT 系数具有一定的相关性，通过对这种相关性进行分析，提出了一种基于 JPEG 图像双重压缩特性的图像篡改检测算法，并用此算法检测图像是否经过篡改和定位篡改区域。 -Since the image after a first JPEG compression JPEG compression and double its DCT coefficients having some relevance, by this corre
DCT-transform-of-the-image
- 对cameraman.tif图像进行DCT变换，分别选取最大的1/4、1/8、1/16个变换系数(其余置为0)，进行反DCT得到重构图像，显示原图像和各重构图像并分别计算重构图像的峰值信噪比。-Cameraman.tif DCT transform of the image, were selected maximum 1/4,1/8,1/16 transform coefficients (the remainder is set to 0), inverse DCT to obtain th
Koxh-and-Zhao
- Implementation of embedding information into an image using the method of replacing the relative values of DCT coefficients method (Koch and Zhao)
extract_feature
- 此工程实现提取jpeg图像的DCT系数首字母概率作为jpeg重压缩检测的特征，以此特征训练出分类模板，可以检测出一张jpeg图像是单压缩还是重压缩。-Works to achieve this extract jpeg image DCT coefficients of the first letter of the probability of detection as a jpeg heavy compression feature, this feature trained classif
DCT-dctrestructuring-code
- DCT变换后，各子带系数重组后的显示图（和小波变换的性能对照，体现了DCT 的多分辨率性能），已经测试了，可以使用-After the DCT transform coefficients of each sub-band after the restructuring is shown in Figure (wavelet transform performance and control, reflecting the multi-resolution performance of DCT)
nsf5_simulation
- nsf5隐写算法，DCT的升级版，MATLAB实现，可以抵抗一般的DCT隐写分析(The algorithm nsF5 evolved from the F5 algorithm originally proposed by Andreas Westfeld in 2001. F5 decreases the absolute value of DCT coefficients and incorporates matrix embedding - a coding scheme that de
鲁棒性数字水印的设计与仿真
- 在彩色图像中嵌入二值灰度水印。有两种算法，第一种嵌入在yuv模型的y层整体系数上，第二种嵌入在rgb模型r层直流系数上。本科毕设题目，希望可以帮到你。(Two valued gray watermark is embedded in color image. There are two algorithms. The first one is embedded in the overall coefficients of the Y layer in the YUV model, and the
MaseraConf_17.pdf.tar
- In this paper, we present area- and power-efficient architectures for the implementation of integer discrete cosine transform (DCT) of different lengths to be used in High Efficiency Video Coding (HEVC). We show that an efficient constant matrix-