-
sparse_fusion
运用最小二乘和一范数约束求解低分辨率多光谱图像和高分辨率全色图像融合成高分辨率多光谱图像,程序附带主流的图像融合评价标准,需要融合的图像,对比图像;以及附带程序所需的稀疏包(Using least squares and a norm constraint solving low-resolution multi-spectral image and panchromatic image fusion into a high-resolution multi-spectral images, the program comes with mainstream image fusion uation criteria require the integration of image contrast image and Sparse package comes with the program required)
- 2020-10-06 17:07:38下载
- 积分:1
-
Arnold
可以对一幅图像进行Arnold进行置乱加密,另外还有解密的程序(Arnold can be carried out on an image scrambling encryption, decryption program in addition to)
- 2011-11-24 01:22:38下载
- 积分:1
-
evaluatefusion
图像融合评价程序,通过均值,标准偏差,熵,梯度,相关系数,光谱扭曲度等多个指标对融合图像进行评价比较。(image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the comparative images.)
- 2007-01-15 16:05:52下载
- 积分:1
-
Hough
说明: 利用Hough变换实现半径未知的圆形物体的检测(Use Hough transform to achieve a circular radius of an unknown object detection)
- 2009-07-27 13:08:25下载
- 积分:1
-
bwlabel
说明: vc++调用matlab函数混合编程实现二值图像的区域标记。(vc++ call matlab function Matlab binary image of the regional markers.)
- 2008-10-13 15:39:51下载
- 积分:1
-
Sobel
Sobel edge detection algorithm
- 2015-04-19 00:34:40下载
- 积分:1
-
以图搜图_CNN
说明: 以图搜图,深度学习,采用vgg16,对应文件夹放入图片即可使用(image_retrieval_platform-master)
- 2020-07-12 13:13:13下载
- 积分:1
-
method-2
相关法求旋转平移图像的旋转角度 转极坐标方法2 另一法见本人另一程序包(Correlation registration method for rotation angle (polar coordinates method 2))
- 2017-02-26 17:14:58下载
- 积分:1
-
code
包涵了计算影像的几种质量指标,这些指标都是全局指标,对影像质量评价有一定作用(Image Quality Index :IFC、Q4、QNR、VIF)
- 2014-04-23 14:47:51下载
- 积分:1
-
Inpainting--on-Wavelet-
图像修复是图像处理的一个重要问题。这是一个困难的问题,同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息,基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构,利用小波子图像转变。然后,地区结构中缺少的信息的子图像重建曲率驱动扩散(CDD),算法,而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后,恢复的图像,通过重组,结构和纹理恢复的结果。大量的实验表明,该算法可以快速,高效地恢复在同一时间的结构和纹理信息,视觉效果和峰值信噪比比(PSNR)比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the
texture and structure in regions of missing image information. In order to inpaint the damaged image with both
missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is
presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet
transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by
Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the
improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and
texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently
restore the structure and texture information at the same time, and the visual eff)
- 2012-06-05 22:04:45下载
- 积分:1