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Marx20110509
- 本文将小波图像分解和信息熵特征提取相结合，提出一种新的掌纹特征提取算法。该算法首先对掌纹灰度图像进行二维小波分解，再利用多分辨信息熵分别计算不同尺度下的能谱熵作为特征向量，从而实现掌纹特征提取。该算法不但避免了图像增强和纹理细化等预处理过程，而且运用多分辨信息熵的自适应计算方法来调节分解级数，使得到的特征向量长度远小于传统算法。-In this paper, wavelet image decomposition and information entropy feature extractio
3D-dense-point-tracking
- 是DIGITAL EMILY 中经投影重建人脸后，对人脸进行对齐形变，已生成3D人脸动画的方法，形变效果很好。-a novel automatic method for high resolution, non-rigid dense 3D point tracking，using a phase-shifting structured light ranging technique。
wsiearth
- ArcGIS开发使用 世界地图 TIFF 分辨率：10020*5010 大小：47.87 MB 空间参考：D_WGS_1984 像素深度：8 位 -The ArcGIS Developer resolution World Map TIFF: 10020* 5010 size: 47.87 MB spatial reference: D_WGS_1984 Pixel Depth: 8
S1D13517-Spec-Rev_1.3
- 液晶显示控制器S1D13517，支持最高分辨率960*960-LCD controller S1D13517, supports a maximum resolution of 960* 960
independent-component-analysis
- High-resolution independent component analysisbased time-of-arrival estimation for line-of-sight multipath environments-High-resolution independent component analysisbased time-of-arrival estimation for line-of-sight multipath environments.pdf
1
- 该文章用反卷积算法计算GSM和UMTS基站的电磁场辐射量，此方法可以消除噪声的影响，使得测量结果更精确。-In this paper, we present a new robust, fast, and accu- rate deconvolution algorithm for correcting noise disturbed mea- surements and eliminating the influence of the resolution filter of a
rfi-investigation-and-resolution-guide
- Investigation of effects of rfi ina system
add-and-del-timing-in-Realtek-code
- 教你如何在Realtek source code中增加和删除客户需要的分辨率-Teach you how to add and delete customer needs resolution in Realtek source code
capmetr
- Capacitors are one of the most common passive electrical components that are extensively used in all kinds of electronic circuits. In this project, we will discuss a technique of building a digital capacitance meter using a PIC microcontroller. This
High-Resolution-Radar-Target-Modeling-Using-A-Mod
- a paper about prony in radar
mutual-information
- 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得
pinjie
- 将多幅在不同时刻、从不同视角或者由不同传感器获得的图像经过对齐然后无缝地融合在一起，从而得到一幅大视场、高分辨率图像的处理过程。该图像被称为全景图。 -Pieces at different times, from different perspectives, or the images obtained by the different sensors after alignment and then seamlessly blend together, resulting in a l
Wavelet-based-image-registration
- 基于小波变换的高分辨率图像配准技术遥感影像-Wavelet-based image registration technique for high-resolution remote sensing images
A-NOVEL-SEPARATING-STRATEGY
- 自己最近中的ICIP会议论文，主要是有关人脸超分辨率重建方面的研究，网上貌似还没有下载资源，现在先po上来，有兴趣的大家一起讨论呀-my recent ICIP conference paper, mainly on face super-resolution reconstruction online seemingly have not downloaded resources first po up now interested we can discuss it
2011_7_1_49_56
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00913592
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00941854
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
01262011
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,