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Description: 暂时只支持jpeg2000支持的 cdf97 和spline53
可以这样来测试：
x=imread( E:\\study\\jpeg2000\\images\\lena.tif )
％ see the decomposition coefficients
y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet
figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y))
％ see the reconstruction precision
yy=wavelift(x, 5) using cdf 9/7 wavelet
ix=wavelift(yy,-5) inverse
sum(sum((double(x)-ix).^2))
-only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : \\ study \\ jpeg2000 \\ images \\ lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5 / 3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9 / 7 wavelet ix = wavelift (yy. -5) inverse sum (sum ((double (x) - ix). ^ 2
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Size: 6454 |
Author: 余庆红 |
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Description: Type Classification Code [英汉计算机大词典] n.分类码 :main.m (program control)discretize.m (converts image to discrete values)plotimg.m (plots划分 images)dirImg.m (computes the directional image)extract.m (extracts square portion of image抽取块方向图 - called by dirImg) slitSum.m (computes the slit缝隙、剖面 sum direction - called by dirImg)tileImg.m (tiles平铺显示 the image and computes new directions)averImg.m (smoothes the image)angleImg.m (computes the angles from the vector representationvector representation n.向量表示 )Poincare.m (computes the core-delta points)temp.m (extracts the core-delta points and locations) Correlation相关、对比 Code:proj.m (program control)plotimg.m (plots images)discretize.m (converts image to discrete values)normalize.m (normalizes images)corrfft.m (computes the correlation)-Type Classification Code [computer English Dictionary] n. classification codes : main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots classified images) dirImg.m (computes the directional image) extract. m (extracts square image portion of the direction taken block map-called by dirImg) slitSum.m (computes the slit cracks, profile sum direction - called by dirImg) tileImg.m (smooth tiles show the image and computes new directions) averImg.m ( smooths the image) angleImg.m (computes the angles from the vector representationvector representation n. Vector) Poincare.m (computes the core-delta points) temp.m (extracts the core-delta points and locations) Correlation related contrast Code : proj.m (program control) plotimg.m (plots images) discretize.m (con
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Size: 841 |
Author: 丰逸 |
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Description: Type Classification Code [英汉计算机大词典] n.分类码 :main.m (program control)discretize.m (converts image to discrete values)plotimg.m (plots划分 images)dirImg.m (computes the directional image)extract.m (extracts square portion of image抽取块方向图 - called by dirImg) slitSum.m (computes the slit缝隙、剖面 sum direction - called by dirImg)tileImg.m (tiles平铺显示 the image and computes new directions)averImg.m (smoothes the image)angleImg.m (computes the angles from the vector representationvector representation n.向量表示 )Poincare.m (computes the core-delta points)temp.m (extracts the core-delta points and locations) Correlation相关、对比 Code:proj.m (program control)plotimg.m (plots images)discretize.m (converts image to discrete values)normalize.m (normalizes images)corrfft.m (computes the correlation)-Type Classification Code [computer English Dictionary] n. classification codes : main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots classified images) dirImg.m (computes the directional image) extract. m (extracts square image portion of the direction taken block map-called by dirImg) slitSum.m (computes the slit cracks, profile sum direction- called by dirImg) tileImg.m (smooth tiles show the image and computes new directions) averImg.m ( smooths the image) angleImg.m (computes the angles from the vector representationvector representation n. Vector) Poincare.m (computes the core-delta points) temp.m (extracts the core-delta points and locations) Correlation related contrast Code : proj.m (program control) plotimg.m (plots images) discretize.m (con
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Size: 1024 |
Author: 丰逸 |
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Description: 暂时只支持jpeg2000支持的 cdf97 和spline53
可以这样来测试：
x=imread( E:\study\jpeg2000\images\lena.tif )
％ see the decomposition coefficients
y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet
figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y))
％ see the reconstruction precision
yy=wavelift(x, 5) using cdf 9/7 wavelet
ix=wavelift(yy,-5) inverse
sum(sum((double(x)-ix).^2))
-only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : \ study \ jpeg2000 \ images \ lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5/3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9/7 wavelet ix = wavelift (yy.-5) inverse sum (sum ((double (x)- ix). ^ 2
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Size: 6144 |
Author: 余庆红 |
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Description: 一个桌面宠物程序，这个程序用来显示动画的 方法是拷贝屏幕上相关区域的图象，将它显示在窗口上，再将动画内容复制上去，当宠物移动时，就将将 要覆盖住的桌面内容拷贝下来，与原先的图象相加，生成新的图象信息。-A desktop pet procedures, which used to display animation is copy the relevant region on the screen images, it displayed in the window, and then copy the animation up, when the pet moves, it will be live coverage of the contents of the Desktop copy down the sum of the original image, create a new image information.
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Size: 22528 |
Author: tony |
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Description: Type Classification Code:
main.m (program control)
discretize.m (converts image to discrete values)
plotimg.m (plots images)
dirImg.m (computes the directional image)
extract.m (extracts square portion of image - called by dirImg)
slitSum.m (computes the slit sum direction - called by dirImg)
tileImg.m (tiles the image and computes new directions)
averImg.m (smoothes the image)
angleImg.m (computes the angles from the vector representation)
Poincare.m (computes the core-delta points)
temp.m (extracts the core-delta points and locations)
Correlation Code:
proj.m (program control)
plotimg.m (plots images)
discretize.m (converts image to discrete values)
normalize.m (normalizes images)
corrfft.m (computes the correlation)
--------------------------------------------------------------------------------
-Type Classification Code: main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots images) dirImg.m (computes the directional image) extract.m (extracts square portion of image- called by dirImg ) slitSum.m (computes the slit sum direction- called by dirImg) tileImg.m (tiles the image and computes new directions) averImg.m (smoothes the image) angleImg.m (computes the angles from the vector representation) Poincare.m (computes the core-delta points) temp.m (extracts the core-delta points and locations) Correlation Code: proj.m (program control) plotimg.m (plots images) discretize.m (converts image to discrete values) normalize. m (normalizes images) corrfft.m (computes the correlation )--------------------------------------------------------------------------------
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Size: 6144 |
Author: 小熊 |
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Description:
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Size: 3072 |
Author: 汤跃峰 |
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Description: 本设计是针对第二题采用了两种算法用来识别各种水果。第一种算法是质心法，第二种方法是相关匹配法。
质心法
一．算法思想
质心法的优点在于图像经过任何旋转后，图像边缘到质心的距离求和始终为一个固定值，这样利用这一个特性，就可以辨识出各个图像。
-This design is the second title for the two algorithms used to identify a variety of fruits. The first is a qualitative-force algorithm, the second method is related to matching.
Quality-force
1. Algorithm thinking
The advantages of quality-force any rotating images, the image edge to the distance from the center of mass is always a fixed sum of value, so to make use of this characteristic, we can identify the various images.
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Size: 294912 |
Author: asfa |
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Description: DCT A discrete cosine transform (DCT) expresses a sequence of finitely many data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, from lossy compression of audio and images (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical in these applications: for compression, it turns out that cosine functions are much more efficient (as explained below, fewer are needed to approximate a typical signal), whereas for differential equations the cosines express a particular choice of boundary conditions.
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Size: 8192 |
Author: iso |
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Description: 差影法实际是对图像进行代数运算的一种不同的叫法。代数运算是指对两幅输入图像进行点对点的加、减、乘、除计算而得到输出图像的运算。
图像相加的一个重要应用就是对同一场景的多幅图像求平均值，它可以有效地降低随机噪声的影响，这是因为对于一幅有噪声的图像S（x，y），可以看成是由原始无噪声的图像F（x，y）和噪声G（x，y）叠加而成的，即
S（x，y）=G（x，y）+F（x，y）
-Poor shadow method is actually an image algebra in a different name for. Algebra refers to the two input images point to point add, subtract, multiply, in addition to the calculation obtained computing the output image. An important application of the image is the sum of the same scene multiple images averaged, it can effectively reduce the impact of random noise, it is because for a noisy image S (x, y), can be seen as by the original noise-free images F (x, y) and noise G (x, y) stacking, that is, S (x, y) = G (x, y)+ F (x, y)
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Size: 392192 |
Author: caocao |
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Description: 图像融合的目的把来自多传感器的数据互补信息合并成一幅新的图像,以改善图像的质量。图像融合最简单的理解就是两个（或多个）图像间的相加运算。这一技术广泛应用于多频谱图像理解和医学图像处理等领域。主要分为空域和频域相加。-The purpose of image fusion from multiple sensor data to complement the information merged into a new image to improve image quality. The simplest understanding of image fusion are two (or more) add operations between images. This technology is widely used in multi-spectral image interpretation and medical image processing and other fields. Spatial and frequency domain is divided into the sum.
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Size: 4096 |
Author: wanghui |
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Description: 采用投影求和统计图像的整列信息，对应图像的频域变换图像的黑带，用Round(kN／a)自动搜索得到最小值点，简易的与左右相邻2个像素比较判断最小值点，将两最小值点相减即得任意角度的运动模糊长度-Sum projection images using statistical information on the entire column, corresponding to the frequency domain transform image image Black Belt, with the Round (kN/a) automatic search by the minimum point, a simple left and right adjacent to two pixels to determine the minimum point of comparison, subtracting the minimum point of the two derived length at any angle of motion blur
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Size: 32768 |
Author: ouyangsir |
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Description: 3 图像基本处理操作（图像显示、读写、像素统计处理、图像文件I/O等）
4 图像质量的客观评价（峰值信噪比PSNR及其应用）
5 图像的代数运算（绝对值差函数imabsdiff，叠加函数imadd，图像的旋转imrotate）
6 视频处理（创建AVI视频）
7 图像增强（直方图、直方图均化、均值滤波、中值滤波）
8 图像形态学分析（膨胀、腐蚀、开、闭运算、轮廓提取）
-3 basic image processing operations (image display, read and write, pixel statistics processing, image file I/O, etc.) 4 objective evaluation of image quality (PSNR peak signal to noise ratio and its application) 5 images of algebraic operations (sum of absolute differences function imabsdiff , superimposed function imadd, image rotation imrotate) 6 video processing (creating AVI video) 7 image enhancement (histogram, histogram equalization, mean filtering, median filtering) 8 image morphology analysis (expansion, erosion, opening and closing operations, contour extraction)
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Size: 4096 |
Author: 李辛昭 |
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Description: A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out informative image patches of source images
to constitute the fused image by processing the divided subtensors
rather than the whole tensor 2) the sum of absolute values of the coefficients
(SAVC) from HOSVD of subtensors is employed for activity-level
measurement to evaluate the quality of the related image patch and 3) a
novel sigmoid-function-like coefficient-combining scheme is applied to construct
the fused result. Experimental results show that the proposed algorithm
is an alternative image fusion approach.-A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out informative image patches of source images
to constitute the fused image by processing the divided subtensors
rather than the whole tensor 2) the sum of absolute values of the coefficients
(SAVC) from HOSVD of subtensors is employed for activity-level
measurement to evaluate the quality of the related image patch and 3) a
novel sigmoid-function-like coefficient-combining scheme is applied to construct
the fused result. Experimental results show that the proposed algorithm
is an alternative image fusion approach.
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Size: 80896 |
Author: paul |
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Description: 利用KLT跟踪算法进行兴趣点选取和跟踪。
KLT跟踪算法的原始思想是在研究不同图像之间的匹配问题时，通过计算两个平移窗口的灰度残差，并寻找最小化残差SSD(sum of square difference)来实现匹配的。但是这个过程是没有效率的，因此KLT算法进行了优化。在这个过程中，KLT算法使用泰勒展开直接计算平移矢量，而不需要通过遍历进行搜索。
-KLT tracking algorithm to select a point of interest and tracking. KLT tracking algorithm original idea is to study the matching between different images, by calculating the two translational window gray residuals and seeks to minimize the residual SSD (sum of square Difference) matching. But this process is not efficient, KLT algorithm has been optimized. In this process, the KLT algorithm uses the Taylor expansion of the direct calculation of the translation vector, without the need to search by traversing.
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Size: 2219008 |
Author: |
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Description: Function-Compute Correlation between two images using the similarity measure of Sum of Squared Differences (SSD) with Right Image
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Size: 1024 |
Author: aliveli |
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Description: This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole
face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then
used to reduce the dimension of features. In order to make full use of global and local features and
further improve the performance, a decision fusion technique is employed by using weighted sum rule.
Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed
method has superior overall performance compared to some other methods in the presence of facial
expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time
is acceptable for on-line face recognition systems
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Size: 1038336 |
Author: abdou |
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Description: A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.
-A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.
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Size: 89088 |
Author: Mohammad |
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Description: A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.-A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.
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Size: 4939776 |
Author: Stumer |
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Description: 将彩色图像或者灰度图片进行切割，然后把切割后的图片相加或者相减-The color image or gray images were cut, and then put the sum of the picture after cutting or subtraction
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Size: 2470912 |
Author: 骆廷 |
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