Patent
Signal-correlated noise estimating method for image sensor
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TLDR
In this article, a signal-correlated noise estimating method for an image sensor comprises the following steps of: searching smooth blocks of an image by adopting a high pass operator-based image structure analyzer; sampling the blocks according to the arrangement mode of CFA (colorful filter array), to obtain a set which corresponds to each gray value, and computing the mean value and variance of the set, to get a set of noise estimating sample points; according the smoothness degree of the sets of the image block of each sample point, computing the reliability of the sample point;Citations
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Patent
Color filter array and image processing method
TL;DR: In this article, a color filter array and an image processing method are presented, where the color filter unit comprises at least three primary color filters which are distributed adjacently, and the color free filter unit consists of color-free color filters distributed on the periphery of the colour filter units.
Patent
Method and system for non-local average value denoising of image
TL;DR: In this paper, a method for non-local average value denoising of an image is presented, which comprises the steps that the image to be denoised is obtained, an image block of a preset size is extracted, a vector matrix is formed by read spatial domain data of three color components of RGB of the image block, principal component analysis and dimensionality reduction are conducted, and therefore a residual vector matrix was generated after dimensionality reductions is conducted.
Patent
Video noise estimation method based on main component analysis
Chen Changbao,Du Hongmin,Hou Changsheng,Kong Xiaoyang,Wang Ruchuan,Guo Zhenqiang,Yun Gang,Wang Lei,Wang Yingying,Xiao Jinsheng +9 more
TL;DR: In this article, a video noise estimation method based on main component analysis is proposed, where video sequence correlation is fully used, and similar block searching is carried out between adjacent frames of images, and based on a minimum cost criterion, a differential image between the adjacent frames is acquired, and influences of video motion are eliminated, and then a preliminary weak texture difference image is acquired.
Patent
Method for quantitative evaluation of curve/curved surface quality
Ji Xiaogang,Yan Chen,Yu Yichao +2 more
TL;DR: In this paper, a method for quantitative evaluation of the curve/curved surface quality based on details has been proposed, which comprises: acquiring an original control point coordinate matrix of a curve/Curved surface and carrying out translation transformation to obtain a new control point coordinates matrix; carrying out wavelet fairing multiple times on the new control points coordinate matrix to obtain the low-resolution curve/cured surface control point matrix; and then, carrying out a reconstruction matrix with the reconstruction matrix, reconstructing the low resolution curve and caved surface control points matrix till realizing the consist
Patent
Image noise level estimation method based on deep learning
TL;DR: In this paper, the authors provide a framework based on deep learning to estimate an image noise level. But, their method is mainly applied to computer image processing and is not suitable for computer vision applications.
References
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Journal ArticleDOI
Radiometric CCD camera calibration and noise estimation
Glenn Healey,R. Kondepudy +1 more
TL;DR: Using physical models for charged-coupled device (CCD) video cameras and material reflectance, the variation in digitized pixel values that is due to sensor noise and scene variation is quantify.
Journal ArticleDOI
Fast and reliable structure-oriented video noise estimation
Aishy Amer,Eric Dubois +1 more
TL;DR: A new measure to determine homogeneous blocks and a new structure analyzer for rejecting blocks with structure based on high-pass operators and special masks for corners to stabilize the homogeneity estimation are proposed.
Journal ArticleDOI
Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images
TL;DR: A maximum-likelihood method for estimating hyperspectral sensors random noise components, both dependent and independent from the signal, is proposed and it is suggested that it is worth taking into account noise signal-dependency hypothesis for processing AVIRIS data.
Journal ArticleDOI
A Technique for Evaluation of CCD Video-Camera Noise
TL;DR: A comprehensive noise model for CCD cameras was used and a technique to identify and measure the prominent sources of sensor noise in commercially available charge-coupled device video cameras by analysis of the output images was presented.
Journal ArticleDOI
Homogeneity Localization Using Particle Filters With Application to Noise Estimation
Mohammed Ghazal,Aishy Amer +1 more
TL;DR: The proposed method uses spatially and sparsely scattered initial seeds and utilizes particle filtering techniques to guide their spatial movement towards homogeneous locations and avoids the need to perform the full search associated with block-based noise estimation methods.