We propose a Patchwise Sparse Coding Super-Resolution algorithm to reduce the computation by processing the large mount of patches with patch dimensionality reduction and classification. In our method, the input low-resolution patches are classified and marked by their mean and variance pairs. We ...
In other words, the image patch Iw(k, l) is arranged into a vector Iw, taking all elements from matrix Iw in a row-wise fashion. The vectors Iw are normalised to zero mean, to avoid the possible bias of the local greyscale levels. Assume that we have a population of patches Iw, ...
B. Channel-Wise Decorrelation ①通道去相关旨在解决特征信道之间高度相关的基本问题。 ②使用方法: 零相位分量分析(ZCA)。ZCA会将PCA的白化数据旋转回原始特征空间,从而确保ZCA处理后的数据更接近于原始数据,而不需要降维。因此,我们的信道去相关是基于ZCA白化而不是PCA,并且信息损失很小。为了实现有效的去相关,我们...
Quantitative comparisons The quantitative performance of different segmentation networks is evaluated on Area 5 from the S3DIS dataset10 in terms of the following metrics: overall accuracy (OA), class-wise mean of accuracy (mAcc), per-class intersection over union (IoU) and class-wise unweighted a...
In image super-resolution, state-of-the-art ing novel dense connections for point-wise feature extrac- methods such as LapSRN [30] and ProSR [51] gain sub- tion, code assignment for feature expansion, as well as bi- stantial improvement by carefully designing layer connec- la l feature ...
It is also worthwhile to replace PCA with an autoencoder to model non-linear correlations among landmarks.References Aubert, B., Vazquez, C., Cresson, T., Parent, S., Guise, J.D.: Automatic spine and pelvis detection in frontal X-rays using deep neural networks for patch displacement ...
Image denoisingprincipal component analysisgeometric structure clusteringThis paper presents a novel patch-based approach to still image denoising by principal component analysis (PCA) with geometric structure clustering. Inspired by denoising image patch-wise ideas, we......
(HSI) classification/segmentation methods, such as the inability to recognize the rotation of spatial objects, the difficulty to capture the fine spatial features and the problem that principal component analysis (PCA) ignores some important information when it retains few components, in this paper, ...
SS symmetry Article Hyperspectral Face Recognition with Patch-Based Low Rank Tensor Decomposition and PFFT Algorithm Mengmeng Wu * , Dongmei Wei *, Liren Zhang and Yuefeng Zhao * School of Physics and Electronics, Shandong Normal University, Jinan 250000, China; zhangliren66@hotmail.com * ...
Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response. IEEE Trans. Med. Imaging 2000, 19, 203–210. [CrossRef] [PubMed] © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the...