搜索资源列表
DCT
- 用matlab对一张图片进行DFT变换,DCT变换,比较保留20个DCT变换系数重构的图象与原始图像的差别.-Using matlab on a picture to DFT transform, DCT transform, compared to 20 DCT transform coefficients to retain the image reconstruction of the difference between the original image.
Information-hiding
- 基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。-Based on DCT (discrete cosine
dwprotected
- Matlab source code for DCT-based watermarking for grayscale images. DCT-based watermark recovering without resorting to the uncorrupted original image. Digital watermarking has been proposed as a viable solution to the need of copyright protection an
jpeg2avihojoon
- This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
jpeg_encode+decoderhojoon
- This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
rgbquadtreehojoon
- This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN -
matlab_watermark
- 本文算法是将24 位真彩图的亮度分量分块 DCT ,然后利用DCT 量化系数的奇偶特性嵌入8 位灰度水印图,并通过PN 序列加密来保证水印的 安全性。算法中,将灰度图像转换为二进制数据 流,置乱后扩频调制,隐藏在宿主DCT 系数量化值 中,提取时不需要宿主信号,实现水印信号的盲提 取。-This algorithm is 24-bit true color pictures of the luminance component of block DCT, quantiza
Audio-Watermarking-in-DCT
- 本文在DCT噪声信号模型研究的基础上,提出了一种新的音频水印嵌入位置选择策略和一个应用该策略的自适应音频水印算法. 通过定义DCT系数的噪声敏感度,建立了水印嵌入位置和嵌入水印后的音频信号的听觉感知性之间的关系,根据音频水印的不可听性的要求选择最优的嵌入位置,然后调节水印强度来满足鲁棒性的要求,从而最大程度地保持音频水 印的不可听性和鲁棒性,为解决音频水印嵌入过程中不可听性和鲁棒性之间的矛盾提供了一种策略.-Though m any w orks in the literature agre
sy1_4
- 读取图像lena.tif,进行DCT变换,每个图像块保留10个DCT系数进行重构图像,比较重建图像与原始图像的差异。-Read the image lena.tif, the DCT transform, each image block of 10 DCT coefficients to retain the reconstructed image, reconstructed image compared with the original image differences.
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
DCT-for-image-compression-
- 利用DCT进行图像压缩(首先将图像分割成8×8的图像,对每个子图像进行DCT,这样每个子图像有64个系数,舍去50%小的变换系数,进行2:1的压缩。)-Using DCT for image compression (first image into 8 × 8 image, for each sub-image DCT, so that each sub-image by a factor of 64, rounding 50 of the small transform coefficie
work
- 基于DCT系数的自适应视频水印算法与实现与应用-DCT coefficients based Adaptive Video Watermarking Algorithm and Implementation
jpegread
- 本程序用于在matlab中读取jpeg格式图像的DCT系数- read dct coefficients in jpeg image
new-f5-stego
- The F5 algorithm embeds message bits into randomly-chosen DCT coefficients and employs matrix embedding that minimizes the necessary number of changes to embed a message of certain length.
tuxiangyasuo
- (1)试利用函数dct2,对该图像进行压缩。压缩时可尝试对DCT 变换后的系数采用不同取舍方法,比较其压缩性能。(函数dct2在matlab本身是有的,可以help dct2看看) (2)结合课本例8.7.2 的量化方法,对每一个经DCT变换后的8×8 矩阵量化(Huffman编码部分可省略),从而实现图像压缩。在一定压缩比的情况下,和⑴给出的图像质量相比较。 (3)用所给的子子程序fast_LOT.m 实现对该图像的变换与压缩,并和(1)得出的图像质量相比较-(1) Test usin
DCT-and-Image-Compression
- DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and trans
Code_20_02_14
- This paper proposes and evaluates a promising technique used for liver segmentation that can be used as the first step in liver treatment planning. It is based on texture feature analysis obtained from 3D DCT block coefficients, support vecto
Multi Focus Image Fusion Based on The Maximum Number of High Valued AC Coefficients
- This source code performs multi focus image fusion based on the high valued AC coefficients of DCT transform.
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
YUV_xishu
- 用matlab读取YUV文件,DCT变换之后并存取其系数-Read YUV files with matlab, and after DCT transform and access its coefficients
