资源列表
[图形图像处理(光照,映射..)] enhancingAlgorithm
说明:一种基于变分的图像自动增强算法,附参考文献。-an image enhancing algorithm based on variational approach, and the reference paper.<周> 在 2025-06-03 上传 | 大小:753kb | 下载:0
[图形图像处理(光照,映射..)] hw2
说明:1.对一个256*256的图像进行DCT变换得到图像D,将D得斜下角数值置为零,然后进行DCT反变换. 2.对源图像进行K-L转换 1和2比较-1.Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2.. Apply DCT to these sub images, and get the transformed image D with DCT coefficients for elements. 3. From D, keep the coefficient values for only upper left triangular region and set zeros for lower right region to approximate the image. (That is, only half of data is used.) 4.Take Inverse DCT to get the approximated image. 2 . Get the covariance matrix of image. 3 . Calculate the corresponding eigenvectors and eigenvalues. 4 . Represent the original image with Singular Value Decomposition. 5 . Approximate the image by taking off the 4 smallest eigenvalues. (That is, only half of information is used.)<zhengyan> 在 2025-06-03 上传 | 大小:1kb | 下载:0
[图形图像处理(光照,映射..)] yanyan
说明:把一个256*256的图像分成8*8小块,然后进行DFT变换,分别比较在空间域和频域内对图像进行二次抽样和差值最后得出的图像比较-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transformed image F. 3. Derive the proper subsampling function matrix S in spatial domain. 4. Multiplying proper 4*4 DFT matrix T to matrix S, derive the frequency version of subsampling function matrix, S. 5. Similarly, derive the frequency version of interpolation matrix, I. 6. Apply these matrices to each sub image of F (which is DFT of original image), and get the final image, taking inverse DFT. 7. Apply subsampling/interpolation function matrix S/I to original image in spatial domain and get the final image. 8. Compare the results from 6, 7.<zhengyan> 在 2025-06-03 上传 | 大小:2kb | 下载:0
[图形图像处理(光照,映射..)] zhifangtu
说明:函数功能,对图像进行直方图均衡 直接读图像Img10_1.bmp,读到tu中 raydis是原始直方图各灰度级像素个数 原始直方图graydispro,利用原始直方图计算原始累计直方图graydispro t[]计算和原始灰度对应的新的灰度t[],建立映射关系,t坐标代表原始的灰度,t[]代表对应原始坐标的新坐标 new_graydis是统计新直方图各灰度级像素个数 计算新的灰度直方图new_graydispro,利用新的直方图计算新的累计直方图new_graydispro 计算直方图均衡后的新图new_tu -Function, function, a direct reading of the image histogram equalization image Img10_1.bmp, read tu in raydis the original pixel gray-level histogram of the number of the original histogram graydispro, using the original histogram of the original calculation of cumulative histogram graydispro t [] calculation and the original gray-scale corresponding to the new gray t [], to establish mapping relationship, t coordinates on behalf of the original gray-scale, t [] on behalf of the new coordinates corresponding to the original coordinates of the new new_graydis statistical histogram of the number of gray-scale pixel calculate the new histogram new_graydispro, using the new calculation of the new cumulative histogram histogram histogram equalization calculation new_graydispro new plan new_tu<zhengyan> 在 2025-06-03 上传 | 大小:1kb | 下载:0
[图形图像处理(光照,映射..)] huffmanencode
说明:给出了两种利用matlab对图像进行霍夫曼编码的方法,经过仿真,效果很好!-Are given two pairs of images using matlab Huffman coding method, through simulation, good results!<tom> 在 2025-06-03 上传 | 大小:1kb | 下载:0
[图形图像处理(光照,映射..)] 1
说明:将一幅256*256的图像分成8*8的小块,对其进行DFT变换。分别比较在空间域和频域内对源图像进行二次抽样和差值最后比较不同-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transformed image F. 3. Derive the proper subsampling function matrix S in spatial domain. 4. Multiplying proper 4*4 DFT matrix T to matrix S, derive the frequency version of subsampling function matrix, S. 5. Similarly, derive the frequency version of interpolation matrix, I. 6. Apply these matrices to each sub image of F (which is DFT of original image), and get the final image, taking inverse DFT. 7. Apply subsampling/interpolation function matrix S/I to original image in spatial domain and get the final image. 8. Compare the results from 6, 7.<zhengyan> 在 2025-06-03 上传 | 大小:2kb | 下载:0
[图形图像处理(光照,映射..)] 1122zhenyan
说明:这个是C制作的源代码。。。 对一幅图像进行DFT变换,分别对源图像在空间域和频域里进行二次抽样和差值,最后得出结果比较。- Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. Apply DFT to these sub images, and get the fourier transformed image F. 3. Derive the proper subsampling function matrix S in spatial domain. 4. Multiplying proper 4*4 DFT matrix T to matrix S, derive the frequency version of subsampling function matrix, S. 5. Similarly, derive the frequency version of interpolation matrix, I. 6. Apply these matrices to each sub image of F (which is DFT of original image), and get the final image, taking inverse DFT. 7. Apply subsampling/interpolation function matrix S/I to original image in spatial domain and get the final image.<zhengyan> 在 2025-06-03 上传 | 大小:2kb | 下载:0
[图形图像处理(光照,映射..)] ShowBMP
说明:一个简单的图像处理框架,VC++,更加具体的操作只需要简单地添加便可-A simple image processing fr a mework, VC++, more specific operation can be simply added<hfly> 在 2025-06-03 上传 | 大小:3.24mb | 下载:0
[图形图像处理(光照,映射..)] bobust
说明:霍夫变换和RANSAC... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... -observe that Hough transform and RANSAC can estimate line parameters even with outliers. Write a program to estimate the parameters of a 2D circle.<zhengyan> 在 2025-06-03 上传 | 大小:1kb | 下载:0
[图形图像处理(光照,映射..)] dct_imbed
说明:实现置乱变换后的二值位图文件在进行dct变换后目标载体图像的频域插入-Scrambling transformed to achieve binary bitmap file during dct transformed target vector image into the frequency domain<blazer> 在 2025-06-03 上传 | 大小:1kb | 下载:0
[图形图像处理(光照,映射..)] idct
说明:这段程序是前面dct程序嵌入的逆过程,即进行信息的提取,从而获得置乱原始信息-Dct in front of this program is the reverse process of embedding process, namely, the extraction of information, thereby scrambling the original information obtained<blazer> 在 2025-06-03 上传 | 大小:1kb | 下载:0
[图形图像处理(光照,映射..)] nizhiluanbianhuan
说明:置乱变换的逆过程,主要利用的是置乱变换的周期性,在原置乱变换的基础上,结合周期性,实现图像恢复-The reverse process of scrambling transformation, the main advantage of the cyclical nature of scrambling transformation, in the original scrambling transformation based on the combination of cyclical and achieve image restoration<blazer> 在 2025-06-03 上传 | 大小:1kb | 下载:0