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dig_photo_2
Image Matching Fundamentals Method Document PDF Files Slide2
- 2014-03-11 16:33:37下载
- 积分：1
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e900f286
说明： PCA图像降噪新算法-LPG PCA，全名叫做Two-stage Image Denoising by Principal Component Analysis with Local Pixel Grouping。内含算法代码和数据集，均经本人实测，可进行灰度图像和RGB图像的降噪，且PSNR和SSIM指标明显好于小波滤波、K-SVD等经典算法。值得学习图像降噪的看看！(The new algorithm of PCA image denoising LPG PCA, full name is two stage image denoising by principal component analysis with local pixel grouping. The algorithm code and data set can be used to reduce the noise of gray image and RGB image, and the PSNR and SSIM are better than the classical algorithms such as wavelet filtering and K-SVD. It's worth learning about image denoising!)
- 2020-11-24 22:19:32下载
- 积分：1
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Android-Studio
audroid studio books
- 2016-05-05 23:48:37下载
- 积分：1
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14、字典学习
经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)
- 2019-05-31 09:07:45下载
- 积分：1
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matlb_test_MeanShift
说明： 均值漂移聚类的源程序,用mean shift 进行聚类，以及绘图显示，很有价值(mean shift based clustering code, using matlab)
- 2009-08-27 11:47:39下载
- 积分：1
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pciidenoise
％通过耦合神经网络结合中值滤波实现图像的降噪源代码( Through the combination of coupled neural network filtering image noise source code)
- 2008-12-09 17:08:30下载
- 积分：1
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Signal-Detection-in-NonGaussian-Noise-Kassam
这是一部关于非高斯噪声中信号检测与估计的经典书籍，springer出版社出版，作者是S Kassam(This is a classical book about signal detection in non-Gaussian noise, by S Kassam)
- 2021-05-13 23:30:02下载
- 积分：1
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snakedeform_matlab
使用snake方法进行图像处理的原代码，简单准确(use snake image processing methods for the original code simpler and more accurate)
- 2007-04-11 09:27:00下载
- 积分：1
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IPM
能够将图像坐标转化为世界坐标，根据图像像素修改参数(Can transform image coordinates into world coordinates, and modify parameters according to image pixels.)
- 2017-07-01 08:12:14下载
- 积分：1
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gaborf
Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.
- 2012-01-30 13:38:55下载
- 积分：1
