Image resolution is an important criterion to measure the quality of an image. High-resolution
images are a prerequisite for professionals to analyze problems and make accurate …

… an efficient patch-based image denoising scheme by using … that the proposed two-stage
denoising scheme achieves … 分析法(One-dimensional principle component analysis, 1D PCA) 用…

… Using principal component analysis (PCA) to achieve higher … framework of progressive
image denoising. The framework is … by grouping similar 2D image patches into 3D groups. …

… TM image removed noise and principal component analysis. … the first four prin⁃ cipal
components was 99.5%, which could … information; principal components analysis; Anhui province …

… 为解决该问题,提出一种基于主元分析(principal components analysis, PCA) 的函数连接神经网络
(… Two-stage image denoising by principal component analysis with local pixel grouping[J]. …

… ,and the denoising performance is subject to the numbers of similar patches.So a image
denoising algorithm based on nonlocally sparse representation and group is proposed.The …

… image denoising algorithms based on three types of prior knowledge of the natural image,
namely, non-local self… Fast noise level estimation algorithm based on two-stage support vector …

… In this paper, we propose an improved NLM image denoising algorithm based on classification
… Two-stage image denoising by principal component analysis with local pixel grouping[J]. …

… field (SGF) based image denoising algorithm via non-local means, in which the SGF of …
Two-stage formula of sparse gradients field based image denoising algorithm via non-local …

… image denoising techniques based on sparse representation and regularization constraints.
In addition, we analyze and describe the principle… 正则项(Overlapping group sparse total …