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design-flow-speeding-up-dsp
- Wavelets have widely been used in many signal and image processing applications. In this paper, a new serial-parallel architecture for wavelet-based image compression is introduced. It is based on a 4-tap wavelet transform, which is realised usin
videodetect
- 用matlab实现了视频的分割，能够读取视频的每一帧，比较相邻两帧的相似度，下把图像分块，比较每一块的相似度-Matlab achieved by video segmentation, can read each video frame, comparing the similarity of two adjacent, under the sub-image blocks, each of the similarity comparison
gabor_svm
- 采用Gabor_Palm函数提取掌纹图像的能量特征，并将得到的结果分块，分别计算每块的均值和方差作为特征向量。特征向量的长度为160.-Gabor_Palm function using the energy extracted palmprint image features, and will be the result of sub-blocks, each block were calculated the mean and variance as a feature vector
WatermarkingAlgorithmResearchandImplementationBas
- In this paper the watermarking programs based on the discrete cosine transform (DCT) domain DC component (DC) is adopted. Through adjusting the block DCT coefficient of the image the watermarks are hidden. And blocking the selected image accord
AnImageEncryptionSchemeBasedonChaoticMap
- ieee一种基于混沌的新加密方法An Image Encryption Scheme Based on Chaotic Map - In this paper, a novel block digital image encryp- tion scheme based on a chaotic coupled map lattices (CML) is reported. Within this scheme, an original image is decomp
feikuai
- 可以设置图像分块的大小和分块数，然后来分块保存图像到文件目录下面-You can set the size of the image sub-block and sub-blocks, and then to block to save the image to a file directory
block4x4
- divide the image in to sub blocks
SVD_DWTimage
- 提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像水印算法。该算法将原始图像作小波分解并将小波分解得到的低频子带进行分块，对每一块进行奇异值分解后，选取每块中最大的奇异值通过量化的方法嵌入经过Arnold置乱后水印信息。-A new wavelet transform based on discrete (DWT) and Singular Value Decomposition (SVD) combination of digital image watermark
matlab
- ) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。-) The use of sub-blocks of principal component analys
ImageRetrievalAlgorithm
- 文是一种基于灰度共生矩阵的图像相似性检索算法，首先将图像分成互不重叠的子图像块，根据子图像 块中像素间灰度差别重新设置每个像素的灰度值为0或l，然后将整个图像重新划分成子块，对子块编码，最后借 助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统 方法GLCM、CCM更有效，且检索效率较高，更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence
DCTtransformation
- DCT变换的基本思路是将图像分解为8×8的子块或16×16的子块，并对每一个子块进行单独的DCT变换，然后对变换结果进行量化、编码-The basic idea is to transform DCT the image is decomposed into 8 × 8 sub-block or 16 × 16 sub-blocks, and each separate sub-block DCT, and then quantify the results of the transform c
work
- 针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into bl
k_mean_uv
- 利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。-K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.
new
- 本系统通过将基于改进的加权的局域颜色直方图的图像检索方法和全局直方图的图像检索方法相结合，提高查全率和查准率。其中，基于分块局域直方图的检索方法利用了图像中间部分的重要性，将图像平均划分成3×3个子块，取中间一块的图像，计算其与参考位图相应位置的颜色特征距离，再计算原图的颜色直方图与参考位图的颜色特征距离，分别赋予权值后得出的值就是图像之间内容的相似程度。本文引入欧氏距离的相似性度量方法实现图像检索。实验表明，该方法具有较好的查全率和查准率。-The system through a combi
queue_of_char
- 用四叉部分原则将图像分割成具有相同属性的子块，并运用队列将分割的子块恢复为原来的图像-Some principles with quad image is divided into sub-blocks that have the same attributes, and the use of sub-block queue will split revert to the original image
fenkuaiqiuyvzhi
- 图像先按横坐标分块，然后再求出每块的阈值和平均灰度值-Firstly,image is segmented blocks,then,we seek threshold in sub-blocks and average gray values
yvzhiqiuqu
- 求出每块图像的阈值和平均灰度值，然后把他们进行比较，求出整幅图像的阈值-It seek threshold in sub-blocks and then compare each sub-block’s threshold value with average gray value to find the best threshold in the whole image.
cs
- 基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了
Inprov_watershed
- 基于标记符的分水岭分割算法，可以控制最小分割块的大小，返回图像的分割边界线。-Tag based watershed segmentation algorithm, can control the size of the smallest sub-blocks, returns division boundary line of the image.
CONTENT-BASED-RETRIEVAL-FROM-IMAGE-DATABASES-CURR
- We review recent advances in image retri . The two fundamental components of a retri system, representation and learning, are analyzed. Each component is decomposed into its constituent building blocks: features, feature representation, and sim