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Description: 实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.
Platform: |
Size: 3360101 |
Author: 陈 |
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Description: This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm
reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document
Platform: |
Size: 1840 |
Author: huangsir |
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Description: 实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.
Platform: |
Size: 3359744 |
Author: 陈 |
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Description: 对图像分块,计算每个块的均值和方差,并给出了结果的图象化表示,易于观察-Image sub-blocks, each block calculated the mean and variance, and gives the results of the image that is easy to observe
Platform: |
Size: 1024 |
Author: sdf |
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Description: 基于均值漂移理论的该进算法，能对有一定遮挡的目标实现跟踪，可能对学习跟踪的出学者有一定帮助-Based on the theory of mean-shift into the algorithm, can have a certain block to achieve the objective of tracking and tracking of learning may be a scholar has a certain extent, help
Platform: |
Size: 209920 |
Author: 张浩天 |
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Description: 使用二维离散余弦变换(DCT)进行图象压缩。原始图象被转换成为8*8大小的块进行压缩和重构。 Cnum:为压缩时保留的系数的个数 MSM:均方误差压缩应该做到在最合理的近似原图象的情况下使用最少的系数。函数：dctmtx:返回一个n*n阶DCT变换 blkproc:对图象进行不同的块处理。 im2col:重排图象块为矩阵列。注意：只适用于灰度图象。-The use of two-dimensional discrete cosine transform (DCT) for image compression. Original image is converted to become the size of 8* 8 block compression and reconstruction. Cnum: reservations for the compression factor of the number of MSM: mean square error compression should be done in the most reasonable approximation of the original image using the least coefficient. Function: dctmtx: returns an n* n-order DCT transform blkproc: image processing of different blocks. im2col: rearrangement of the matrix block out images. Note: only applicable to grayscale images.
Platform: |
Size: 3072 |
Author: hff |
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Description: This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm
reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document-This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: LMS algorithm in frequency domain rapid LMS is modified by XXX in XXX place, see details in XXX relevant document
Platform: |
Size: 2048 |
Author: huangsir |
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Description: 根据分块图像的均值与标准差将图像表示成三种状态：边缘态、平坦态、纹理态。然后计算状态关联图，提取出图像的空间特征。可用于图像检索。
-Under the sub-block images of the mean and standard deviation images express into three states: the edge of state, the flat state, texture state. And then calculating the state relation graph, extracted spatial features of images. Can be used for image retrieval.
Platform: |
Size: 1024 |
Author: Owenli |
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Description: 双字节多位先进先出均值计算子程序,刚刚调试通过的,可以扩充块大小的.-Mean number of double-byte FIFO calculation subroutine, just debug adopted, could expand the block size.
Platform: |
Size: 1024 |
Author: FANG ZHH |
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Description: 穷尽 块匹配算法motionsEstAnalysis.m Script to execute all AlgorithmsmotionEstES.m Exhaustive Search AlgorithmcostFuncMAD.m Mean Absolute Difference FunctionminCost.m minimum cost among macro blocksmotionComp.m motion compensated image creatorimgPSNR.m finds image PSNR w.r.t. reference-Exhaustive block matching algorithm motionsEstAnalysis.m Script to execute all AlgorithmsmotionEstES.m Exhaustive Search AlgorithmcostFuncMAD.m Mean Absolute Difference FunctionminCost.m minimum cost among macro blocksmotionComp.m motion compensated image creatorimgPSNR.m finds image PSNR wrt reference
Platform: |
Size: 7168 |
Author: 田卉 |
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Description:
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. Feature vector length is 160.
Platform: |
Size: 2048 |
Author: wangxuyang |
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Description: 生成Trick文件工具
1.Open command line
2.input tricktest
Usage: TrickTest -f -o -i
-f source mpeg2 file to trick
-o trick output directory
-i output file id
-m max coding error, default 0
-b max bitrate for trick generate, default 0 mean no limit
-s trick buffer block size, must be n*188
-l log file, default c:\tricktest.log
example:
tricktest -f 黑鹰行动.mpg -o c:\temp -i A -m 1000 -b 3750000
soure file: 黑鹰行动.mpg
output directory: c:\temp
filename: 000000A,000000A.ff,000000A.fr,000000A.vvx
max coding error: 1000
trick generation speed: 3750000 bps
a-Trick document generation tool 1.Open command line 2.input tricktest Usage: TrickTest-f-o-i-f source mpeg2 file to trick-o trick output directory-i output file id-m max coding error, default 0-b max bitrate for trick generate, default 0 mean no limit-s trick buffer block size, must be n* 188-l log file, default c: \ tricktest.log example: tricktest-f Black Hawk operations. mpg-oc: \ temp-- i A-m 1000-b 3750000 soure file: Black Hawk Down. mpg output directory: c: \ temp filename: 000000A, 000000A.ff, 000000A.fr, 000000A.vvx max coding error: 1000 trick generation speed: 3750000 bps a
Platform: |
Size: 552960 |
Author: Jiang |
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Description: 基于像素域的改進的SPIHT算法:分層樹的集分割算法是一種簡單、有效的嵌入式零樹編碼算法.在算法的基礎上提出了一種基于空域的改進方法.首先將圖像的偶數裂像素減去相鄰兩奇數列的均值,形成分裂圖像.然后將分裂圖像的奇數列提取出來作為主圖像,將偶數列提取出來作為幅圖像.最后將主幅圖像以合適的權值分別進行壓縮-Pixel-based domain improved SPIHT algorithm: the set partitioning in hierarchical tree algorithm is a simple, efficient embedded zerotree coding algorithm. In the algorithm based on an improved method based on the airspace. First of all, the even split the image pixels minus the two adjacent odd-numbered out of the mean to form a split image. and then split the images out of the odd-numbered extracted as the main image will be extracted out as even-numbered images. Finally, the main image to the right to appropriate values for compression
Platform: |
Size: 310272 |
Author: jason.. |
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Description: 利用matlab的DCT2函数，对图像做变换并压缩。并用8*8对图像分块，对每一块计算均方值作为阈值。-DCT2 use the matlab function, and transform the image so compressed. And 8* 8 image block, a calculation of each mean square value as a threshold.
Platform: |
Size: 1024 |
Author: 马丁 |
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Description: TD-SCDMA系统中的联合检测算法中的最小均方误差线性块均衡器(MMSE一BLE）算法的MATLAB程序
-TD-SCDMA system, the joint detection algorithm in the minimum mean square error block linear equalizer (MMSE a BLE) program MATLAB algorithm
Platform: |
Size: 1024 |
Author: 张研 |
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Description: Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip-Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip
Platform: |
Size: 118784 |
Author: Yashil |
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Description: matlab平台的一些运动估计块匹配算法，包括3步法，新3步法，4步法，菱形搜索-motionsEstAnalysis.m——Script to execute all Algorithms
motionEstES.m——Exhaustive Search Algorithm
motionEstTSS.m——Three Step Search Algorithm
motionEstNTSS.m——New Three Step Search Algorithm
motionEstSESTSS.m——Simple And Efficient Search Algorithm
motionEst4SS.m——Four Step Search Algorithm
motionEstDS.m——Diamond Search Algorithm
motionEstARPSm——Adaptive Root Pattern Search Algorithm
costFuncMAD.m——Mean Absolute Difference Function
minCost.m ——minimum cost among macro blocks
motionComp.m——motion compensated image creator
imgPSNR.m ——finds image PSNR w.r.t. reference image
Platform: |
Size: 498688 |
Author: lsr |
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Description: 运动估计块匹配算法
以下是工程中m文件的简单注释：
main.m 可通过主函数调用各种基本的块匹配算法
FullSearch.m 全搜索法（又称为Exhaustive Search）
ThreeStepSearch.m 三步搜索法（Three Step Search）
NewTSS.m 新三步搜索法（New Three Step Search Algorithm）
SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS）
FourSS.m 四步搜索法（Four Step Search）
DS.m 菱形搜索法（Diamond Search）
ARPS.m 自适应路径搜索法（Adaptive Root Pattern Search）
costFuncMAD.m 绝对误差均值函数
minCost.m 宏块间代价最小块
motionComp.m 图像重建
imgPSNR.m 计算图像的PSNR值-Block matching motion estimation algorithm The following is a simple project m file comments: main.m calls through the main function of basic block matching algorithm FullSearch.m full search method (also known as the Exhaustive Search) ThreeStepSearch.m three-step search method (Three Step Search) NewTSS.m new three-step search method (New Three Step Search Algorithm) SESTSS.m simple and efficient three-step search method (Simple And Efficient TSS) FourSS.m four-step search method (Four Step Search) DS. m diamond search method (Diamond Search) ARPS.m adaptive path search method (Adaptive Root Pattern Search) costFuncMAD.m mean absolute error between the cost of the function minCost.m macroblock most small motionComp.m calculated image reconstruction imgPSNR.m image PSNR value
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Size: 4724736 |
Author: alan |
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Description: Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI problem. In this
paper performance of communication link in presence of Least Mean
Square and Recursive Least Squares equalizer algorithm is analyzed.
A Model of communication system having Quadrature amplitude
modulation and Rician fading channel is implemented using
MATLAB communication block set. Bit error rate and number of
errors is evaluated for RLS and LMS equalizer algorithm, due to
change in Signal to Noise Ratio (SNR) and fading component gain in
Rician fading Channel.
Platform: |
Size: 400384 |
Author: pravin jadhav |
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Description: An Adaptive Block-Based Eigenvector Equalization for Time-Varying Multipath Fading Channels.In this paper we present an adaptive Block-
Based EigenVector Algorithm (BBEVA) for blind equalization
of time-varying multipath fading channels. In addition
we assess the performance of the new algorithm for different
configurations and compare the results with the
least mean squares (LMS) algorithm. The new algorithm is
evaluated in terms of intersymbol interference (ISI) suppression,
mean squared error (MSE) and by examining the
signal constellation at the output of the equalizer.
Platform: |
Size: 261120 |
Author: abd091 |
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