A5054588962- Image Processing Techniques and Applications
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Remote Sensing and Land Use
- Advanced Numerical Analysis Techniques
- Image Processing and 3D Reconstruction
- Computer Graphics and Visualization Techniques
- Digital Image Processing Techniques
- Blind Source Separation Techniques
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Optical Systems and Laser Technology
- Selenium in Biological Systems
- Advanced Algorithms and Applications
- Advanced Clustering Algorithms Research
- Matrix Theory and Algorithms
- Advanced Steganography and Watermarking Techniques
- Numerical methods for differential equations
- Legal Education and Practice Innovations
- Demographic Trends and Gender Preferences
North China University of Technology
2008-2023
Xi'an Jiaotong University
2010-2022
National Health and Family Planning Commission
2017
Zhejiang University
2007-2008
Zhejiang Party School
2008
Beijing Forestry University
2008
This paper reviews the NTIRE 2021 challenge on learning super-Resolution space. It focuses participating methods and final results. The addresses problem of a model capable predicting space plausible super-resolution (SR) images, from single low-resolution image. must thus be sampling diverse outputs, rather than just generating SR goal is to spur research into developing formulations models better suited for highly ill-posed problem. And thereby advance state-of-the-art in broader field. In...
Abstract In recent years, deep learning has achieved great success in the field of image processing. single super-resolution (SISR) task, convolutional neural network (CNN) extracts features through deeper layers, and impressive results. this paper, we propose a model based on Adaptive Deep Residual named as ADR-SR, which uses Input Output Same Size (IOSS) structure, releases dependence upsampling layers compared with existing SR methods. Specifically, key element our is Block (ARB),...
The imaging characteristics of digital sensors often lead to the moiré patterns, which are widely distributed over frequency domain and have irregular colors shapes. images with patterns could a serious decline in visual quality. difficulty demoiréing lies that mix both low high information be processed. In this paper, we propose MMDM, an effective image demoimng network, uses multiple as inputs multi-scale feature encoding module low-frequency enhancement. Our MMDM has three key modules:...
Kashin-Beck disease (KBD) is an endemic and deformable osteoarthrosis. Epidemiological study has revealed that lower Se level the principal environmental factor in pathogenesis of KBD. Selenoprotein P (SEPP1) a special selenoprotein, which primary form vivo . Our aim was to investigate putative association SEPP1 r25191g/a single nucleotide polymorphism (SNP) with KBD risk transcriptional levels whole blood articular cartilage tissue cases controls, respectively. One hundred sixty-seven 166...
Present a novel method to reconstruct group of geometrical models in computational geometric information processing based on the V-system. This is probably used field pervasive computing. The V-system degree k, as generalization Harr wavelet function, new class complete orthogonal functions L<inf>2</inf>[0,1]. It composed piecewise kth-order polynomials. Few people use finite Fourier representation because Gibbs phenomenon. However, Based V-system, can be realized. means frequency spectrum...
It is well established that son preference the crucial driver for sex ratio imbalance, and there are risks stemming from such imbalance. Whether associated with a gender-imbalanced society may alter will be explored in this study, which has so far received scant scholarly attention. Using data Consequences of Gender Imbalance Survey conducted 2018, exploiting structural equation modelling, paper shows risk perception gender imbalance significant negative effect on stated preference; however,...
This paper uses a new class of complete orthogonal system in L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> [0, 1], which consists piecewise polynomials (called V-system), to process shape recognition. A novel boundary based recognition method is proposed. First the contour an object regarded as geometric graph, and graph expanded V-series, transform spectrum space quantify overall feature object. Further similarity measure algorithm...
Distinguishing from the traditional denoising methods, this paper proposes a novel algorithm according to image-surface fitting after Non-Uniform Triangular Partition. A given image can automatically be partitioned into different triangles with dimensions and bivariate polynomial is used do Optimal Quadratic Approximation gray values of in each sub-triangle. When approximation error are specified, specific partition result obtained. The partitioning codes obtained reconstruct original image....
Based on a class of complete orthogonal function system in L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2 </sub> [0,1] called as the V-system, V- descriptor is defined this paper. Processing lots geometric data quickly related with pervasive computing. V-descriptor possibly used field. By using V descriptor, similarity measurement between given B-spline curves describe. Thus, new algorithm quantitative indicant for distinguishing pairs...
Based on a class of complete orthogonal function system L <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> [0,1] called as the V-system, new kind discrete transform DVT is proposed, and application in image studied. The comparisons with slant transform, slantlet cosine (DCT) are given. Slant an effective mathematical method signal processing, has good effect images which represent variations gradual brightness; further improves transform....
A new images denoising method based on nonuniform partition approximation and wavelet transform is proposed. The key point of non-uniform that the gray values pixels are regarded as fitting data, which fitted with least squares method, then digital image expressed a piecewise polynomial. can realize by expressing contaminated Since retain edges well detailed characteristics, field texture in denoising, this paper combines these two methods to process denoising. experimental results show...
This paper presents a new class of discrete orthogonal moments, W-moments, based on hybrid function system, W-system degree one. The W-moments have two main advantages, one is computationally simple due to the piecewise linear structure basis functions, and other reproducibility, namely shapes even shape groups can be precisely reconstructed by finite number orthogonality functions data set. These properties make preferable conventional moments when used for describing complex consisting...
For images with sky region, we propose a method of image defogging based on pattern recognition and dark channel priori. First, the transmittance is obtained by reducing minimum filter window, then edge smoothed V transformation. Since histogram has feature two peaks, used Fisher linear classifier to identify non-sky regions, recalculated regions. Finally, atmospheric scattering model get new luminance component, gamma correction carried out. After saturation component adjusted...
The study investigates the impact of public participation on governance performance in a risk society. A trust-based participatory paradigm is proposed as viable framework. Using data from 2018 survey family planning services Hubei, China, this develops hypotheses drawn causal mechanisms governance. structural equation modeling (SEM) approach employed to disentangle direct effect its indirect through trust. Moderated multiple regressions (MMR) are conducted identify moderating perception....