scholarly journals Image Magnification Based on Bicubic Approximation with Edge as Constraint

2020 ◽  
Vol 10 (5) ◽  
pp. 1865
Author(s):  
Linlin Ji ◽  
Rui Zhang ◽  
Huijian Han ◽  
Ahmad Chaddad
Keyword(s):  
Small Neighborhood ◽  
Adjacent Area ◽  
Numerical Accuracy ◽  
Visual Effect ◽  
Image Magnification ◽  
Polynomial Coefficients ◽  
Data Points ◽  
Feature Information ◽  
Edge Features ◽  
Image Details

Image magnification can be reduced to construct an approximation surface with data points in the image while keeping image details and edge features. In this paper, a new image magnification method is proposed by constructing piecewise bicubic polynomial surfaces constrained by edge features. The main innovation includes three parts. First, on the small adjacent area of each pixel, the new method constructs a quadratic polynomial sampling patch to approximate pixels on the small neighborhood with edge features as constraints. All quadric polynomial sampling patches are weighted to generate piecewise whole bicubic polynomial sampling surface. Second, a technique for calculating the error image is proposed: the error image is used to construct a correction surface to improve the accuracy and visual effect of the magnified image. Finally, in order to improve the accuracy of the approximation surface, a technology of balancing polynomial coefficients is put forward. Experimental results show that, compared with other methods, the proposed method makes better use of the local feature information of the image, which not only improves the PSNR/SSIM numerical accuracy of the magnified image but also improves the visual effect of the magnified image.

An Ameliorative Defogging Algorithm Based on the MSR

2014 ◽  
Vol 556-562 ◽  
pp. 3483-3486 ◽  
Author(s):  
Ming Liu ◽  
Chao Xu
Keyword(s):  
Adaptive Filter ◽  
Visual Effect ◽  
Existing Problems ◽  
Multi Scale ◽  
Color Distortion ◽  
Homomorphic Filtering ◽  
Image Details

In view of the existing problems of traditional defogging algorithms,such as color distortion and halo phenomenon in MSR algorithm (multi-scale Retinex) , we improve it by using adaptive filter and different weighting factor.In other word,when gray levels of pixels within a certain threshold, use homomorphic filtering; otherwise use different state filtering device. Experiments shown that image details are enhanced, and contrast is enhanced, visual effect is improved.

Improved Algorithm of Image Scaling Based on Edge Features and its VLSI Implementation

2011 ◽  
Vol 120 ◽  
pp. 520-523
Author(s):  
Hua Fang Sun ◽  
Shu Fang Lu ◽  
Shu Li Chen
Keyword(s):  
Vlsi Implementation ◽  
Visual Effect ◽  
Image Scaling ◽  
Edge Features ◽  
Scaling Algorithms ◽  
Computing Speed ◽  
Improved Algorithm

Abstract: Causes of defects in common image scaling algorithms are summed up at first in this paper. Then a new image scaling algorithm based on edge features is presented to inhibit the defects. The algorithm is also improved by simplifying the calculation, making it more suitable for VLSI implementation. The improved algorithm can greatly reduce the computation and obtain a good visual effect at the same time. It can increase the computing speed and save a lot of chip resources.

A New Non-Aliasing Nonsubsampled Contourlet Transform

2011 ◽  
Vol 480-481 ◽  
pp. 893-898
Author(s):  
He Yan ◽  
Ying Jun Pan
Keyword(s):  
Frequency Domain ◽  
Spatial Domain ◽  
Experimental Results ◽  
Contourlet Transform ◽  
Primary Reason ◽  
Nonsubsampled Contourlet Transform ◽  
Visual Effect ◽  
Pyramidal Decomposition ◽  
Image Details

The factors of aliasing in the nonsubsampled Contourlet transform(NSCT) has been analyzed.The primary reason has been pointed that the à trous algorithm binary zero-interpolation brought about the width of the filter rapid increase and border distortion (that is aliasing). On that basis,a new approximate shift-invariant non-aliasing pyramidal decomposition was proposed instead of the à trous algorithm nonsubsampled pyramidal decomposition in the NSCT,So a new approximate shift-invariant non-aliasing nonsubsampled Contourlet transform(NANSCT) was constructed. Compared to the NSCT,the basis image of the NANSCT has better spatial domain regularity, frequency domain localization and decreased redundancy.The experimental results show that whether PSNR index or in visual effect, the proposed scheme outperforms the traditional Contourlet transform hard threshold denoising , Contourlet domain HMT denoising and the NSCT hard threshold denoising, and can achieve an excellent balance between suppressing noise effectively and preserving as many image details and edges as possiblet.

Transfer-Function Identification Using a Complex Curve-Fitting Technique

1973 ◽  
Vol 15 (5) ◽  
pp. 339-345 ◽  
Author(s):  
J. J. 't Mannetje
Keyword(s):  
Dynamic Systems ◽  
Measured Data ◽  
Algebraic Expression ◽  
Weighted Sum ◽  
Test Results ◽  
Linear Dynamic Systems ◽  
Linear Dynamic ◽  
Polynomial Coefficients ◽  
Analysis And Synthesis ◽  
Data Points

The mathematical analysis and synthesis of linear-dynamic systems, based on experimental test results, often requires that the frequency response of the system be fitted by an algebraic expression. The form in which this expression is usually desired is that of a ratio of two frequency-dependent polynomials. In this paper, a method based upon the minimization of the weighted sum of the squares of the differences between the measured data and the approximating function is presented as a means for the evaluation of the polynomial coefficients of the approximating function. The computer programme used will be discussed and the modifications that improve the accuracy of the calculated coefficients, although the data points may be subject to measurement inaccuracies.

scholarly journals A Segmentation Algorithm of Image Semantic Sequence Data Based on Graph Convolution Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zheshu Jia ◽  
Deyun Chen
Keyword(s):  
Sequence Data ◽  
Semantic Segmentation ◽  
Segmentation Algorithm ◽  
Semantic Data ◽  
Segmentation Accuracy ◽  
Segmentation Algorithms ◽  
Data Points ◽  
Scatter Field ◽  
Feature Information ◽  
Gradient Amplitude

Image semantic data have multilevel feature information. In the actual segmentation, the existing segmentation algorithms have some limitations, resulting in the fact that the final segmentation accuracy is too small. To solve this problem, a segmentation algorithm of image semantic sequence data based on graph convolution network is constructed. The graph convolution network is used to construct the image search process. The semantic sequence data are extracted. After the qualified data points are accumulated, the gradient amplitude forms complete rotation field and no scatter field in the diffusion process, which enhances the application scope of the algorithm, controls the accuracy of the segmentation algorithm, and completes the construction of the data segmentation algorithm. After the experimental dataset is prepared and the semantic segmentation direction is defined, we compare our method with four methods. The results show that the segmentation algorithm designed in this paper has the highest accuracy.

Linear Visco-Resistive Computations of Magnetohydrodynamic Waves: I. The Code and Test Cases

1994 ◽  
Vol 144 ◽  
pp. 503-505
Author(s):  
R. Erdélyi ◽  
M. Goossens ◽  
S. Poedts
Keyword(s):  
Resonant Absorption ◽  
Numerical Code ◽  
Mhd Waves ◽  
Test Cases ◽  
Numerical Accuracy ◽  
Element Discretization ◽  
Flux Tubes ◽  
Magnetohydrodynamic Waves ◽  
Viscosity Coefficients ◽  
Magnetic Flux Tubes

AbstractThe stationary state of resonant absorption of linear, MHD waves in cylindrical magnetic flux tubes is studied in viscous, compressible MHD with a numerical code using finite element discretization. The full viscosity tensor with the five viscosity coefficients as given by Braginskii is included in the analysis. Our computations reproduce the absorption rates obtained by Lou in scalar viscous MHD and Goossens and Poedts in resistive MHD, which guarantee the numerical accuracy of the tensorial viscous MHD code.

Probing the Chemistry and Spectroscopy of Radiation-Sensitive Polymers by Parallel-Detection EELS

1990 ◽  
Vol 48 (2) ◽  
pp. 34-35
Author(s):  
E. G. Rightor ◽  
G. P. Young
Keyword(s):  
Electron Beam ◽  
Bisphenol A ◽  
Energy Loss ◽  
Parallel Detection ◽  
Commercial Grade ◽  
Incident Electron Beam ◽  
Ptfe Sample ◽  
Spectroscopic Information ◽  
Edge Features ◽  
Electron Energy Loss

Investigation of neat polymers by TEM is often thwarted by their sensitivity to the incident electron beam, which also limits the usefulness of chemical and spectroscopic information available by electron energy loss spectroscopy (EELS) for these materials. However, parallel-detection EELS systems allow reduced radiation damage, due to their far greater efficiency, thereby promoting their use to obtain this information for polymers. This is evident in qualitative identification of beam sensitive components in polymer blends and detailed investigations of near-edge features of homopolymers.Spectra were obtained for a poly(bisphenol-A carbonate) (BPAC) blend containing poly(tetrafluoroethylene) (PTFE) using a parallel-EELS and a serial-EELS (Gatan 666, 607) for comparison. A series of homopolymers was also examined using parallel-EELS on a JEOL 2000FX TEM employing a LaB6 filament at 100 kV. Pure homopolymers were obtained from Scientific Polymer Products. The PTFE sample was commercial grade. Polymers were microtomed on a Reichert-Jung Ultracut E and placed on holey carbon grids.

point-Analysis Using the Extrapolation Method in the Analytical Electron microscope

1990 ◽  
Vol 48 (2) ◽  
pp. 430-431
Author(s):  
Zenji Horita ◽  
Ryuzo Nishimachi ◽  
Takeshi Sano ◽  
Minoru Nemoto
Keyword(s):  
Electron Microscope ◽  
Extrapolation Method ◽  
X Ray ◽  
Absorption Correction ◽  
Point Analysis ◽  
Analytical Electron ◽  
Analytical Electron Microscope ◽  
Data Points ◽  
Identical Composition ◽  
X Ray Absorption

Absorption correction is often required in quantitative x-ray microanalysis of thin specimens using the analytical electron microscope. For such correction, it is convenient to use the extrapolation method[l] because the thickness, density and mass absorption coefficient are not necessary in the method. The characteristic x-ray intensities measured for the analysis are only requirement for the absorption correction. However, to achieve extrapolation, it is imperative to obtain data points more than two at different thicknesses in the identical composition. Thus, the method encounters difficulty in analyzing a region equivalent to beam size or the specimen with uniform thickness. The purpose of this study is to modify the method so that extrapolation becomes feasible in such limited conditions. Applicability of the new form is examined by using a standard sample and then it is applied to quantification of phases in a Ni-Al-W ternary alloy.The earlier equation for the extrapolation method was formulated based on the facts that the magnitude of x-ray absorption increases with increasing thickness and that the intensity of a characteristic x-ray exhibiting negligible absorption in the specimen is used as a measure of thickness.

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