Pixel-Level Image Fusion Based on Programmable GPU

2013 ◽  
Vol 347-350 ◽  
pp. 3872-3876
Author(s):  
Hong Li ◽  
Gao Feng Tang ◽  
Fen Xia Wu ◽  
Cong E Tan
Keyword(s):  
Mutual Information ◽  
Image Fusion ◽  
Parallel Algorithm ◽  
Rapid Development ◽  
General Purpose ◽  
Kernel Functions ◽  
Regional Energy ◽  
Novel Algorithm ◽  
Evaluation Accuracy

A novel algorithm which is image fusion based on GPU is proposed. The fused rule is regional energy. In recent years, the power of the computing of GPU has been greatly improved, which results that using it for the general-purpose computing has a rapid development. The essay researches on implementing the oriental field algorithm on GPU, including selecting GPU memories and dividing blocks and threads of GPU kernel functions. The results of experiment on the GPU of NVIDIA GTX560 are given, which shows that our proposed algorithm can be applied to the field of image fusion. Experiment shows the proposed algorithm has faster calcu-lation velocity and higher evaluation accuracy. The speed of the parallel algorithm is 200 times faster than that of the CPU-based implementation. Meanwhile the mutual information and QAB/F parameters are higher than that of the CPU-based algorithm.

Methods for Digital to Analog Conversion of Arts Image Fusion Based on Multimedia Technology

2014 ◽  
Vol 602-605 ◽  
pp. 3886-3890
Author(s):  
Fang Li Wang ◽  
Jun Fang Wu
Keyword(s):  
Image Fusion ◽  
Rapid Development ◽  
Fine Arts ◽  
Empirical Method ◽  
Artistic Expression ◽  
Multimedia Technology ◽  
Multimedia Environment ◽  
Expression Behavior ◽  
Digital To Analog ◽  
The Empirical Analysis

Fine arts, in recent years, with the rapid development of information technology, its diverse artistic expression trends to be more obvious, at the same time, the artistic expression based on multimedia has been paid more attention by the fields. This paper firstly analyzes the general characteristics of art image fusion process in multimedia environment. On this basis, the digital-to-analog conversion (DAC) method of multimedia artistic expression is proposed, which takes the Gauss Pyramid as basis. In order to verify the scientificity of this method, this paper adopts the empirical method to carry on the empirical analysis. The results show that multimedia artistic expression behavior of fine arts based on this method is significant, and has strong practicability and operability.

Research on the Forward Kinematics of Stewart Platform Using Memetic Algorithms

2012 ◽  
Vol 268-270 ◽  
pp. 1416-1421
Author(s):  
Yu Hui Zhang ◽  
Li Wen Guan ◽  
Li Ping Wang ◽  
Yong Zhi Hua
Keyword(s):  
Nonlinear Equations ◽  
Rapid Development ◽  
Memetic Algorithms ◽  
Stewart Platform ◽  
Global Optimum ◽  
General Purpose ◽  
Forward Kinematics ◽  
Systems Of Nonlinear Equations ◽  
Artificial Intelligence Technology ◽  
Difficult Issue

The forward kinematics analysis of parallel manipulator is a difficult issue, which has been studied by many researchers recently. In this paper, in order to solve the difficult issue, a new computing method with higher calculation accuracy, good operation steadiness and faster speed is mentioned. Firstly, the mathematical model of direct kinematics of the Stewart platform is founded, which is nonlinear equations. Secondly, with the rapid development of artificial intelligence technology, Memetic algorithms (MA) are applied to solve the systems of nonlinear equations more and more, replacing the traditional algorithms. MA is a kind of meta-heuristic algorithm combined genetic algorithms (GA) with local search at the end of iteration. Finally, the validity of this algorithm has been testified by simulating iteration operation. The numerical simulation shows that MA can surely and rapidly get global optimum solution and greatly improve convergence rate. Thereby, MA can be widely used as a general-purpose algorithm for solving the forward kinematics of parallel mechanism.

scholarly journals Unified Ciphertext-Policy Weighted Attribute-Based Encryption for Sharing Data in Cloud Computing

2018 ◽  
Vol 8 (12) ◽  
pp. 2519
Author(s):  
Wei Li ◽  
Wei Ni ◽  
Dongxi Liu ◽  
Ren Liu ◽  
Shoushan Luo
Keyword(s):  
Cloud Computing ◽  
Mutual Information ◽  
Data Sharing ◽  
Rapid Development ◽  
Sharing Scheme ◽  
Attribute Based Encryption ◽  
Share Data ◽  
Efficient Data ◽  
Ciphertext Policy ◽  
Access Policies

With the rapid development of cloud computing, it is playing an increasingly important role in data sharing. Meanwhile, attribute-based encryption (ABE) has been an effective way to share data securely in cloud computing. In real circumstances, there is often a mutual access sub-policy in different providers’ access policies, and the significance of each attribute is usual diverse. In this paper, a secure and efficient data-sharing scheme in cloud computing, which is called unified ciphertext-policy weighted attribute-based encryption (UCP-WABE), is proposed. The weighted attribute authority assigns weights to attributes depending on their importance. The mutual information extractor extracts the mutual access sub-policy and generates the mutual information. Thus, UCP-WABE lowers the total encryption time cost of multiple providers. We prove that UCP-WABE is selectively secure on the basis of the security of ciphertext-policy weighted attribute-based encryption (CP-WABE). Additionally, the results of the implementation shows that UCP-WABE is efficient in terms of time.

scholarly journals Digital Currency Illegal Behavior Detection Based on Mutual Information Prior Loss

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Feng Yang ◽  
Guixin Dong ◽  
Chaoran Cui ◽  
Xiaojie Li ◽  
Yaxi Su ◽  
...  
Keyword(s):  
Mutual Information ◽  
Loss Function ◽  
Prior Information ◽  
Rapid Development ◽  
Good Effect ◽  
Behavior Detection ◽  
Digital Currency ◽  
Illegal Behavior ◽  
Illegal Activities ◽  
Criminal Behaviors

In recent years, with the rapid development of digital currency, digital currency brings us convenience and wealth, but also breeds some illegal and criminal behaviors. Different from traditional currencies, digital currency provides concealment to criminals while also exposing their behavior. The analysis of their behavior can be used to detect whether the current digital currency transaction is legal. There is a problem that most digital currency transactions are in compliance with laws and regulations, and only a small part of them uses digital currency to conduct illegal activities. It belongs to the problem of sample imbalance. It is quite challenging to accurately distinguish which transactions are legal and which are illegal in the massive digital currency transactions. For this reason, this study combines the mutual information and the traditional cross-entropy loss function and obtains the loss function based on the mutual information prior. The loss function based on the mutual information prior is that the bias of the category prior distribution is added after the output of the model (before the softmax), which makes the model consider category prior information to a certain extent when predicting. The experimental results show that the use of the loss function based on mutual information prior to the detection of digital currency illegal behavior has a good effect in SVM, DNN, GCN, and GAT methods.

scholarly journals Automated Test System for Test and Evaluation of C-Band Transmitter Packages for Geosat Spacecrafts

2019 ◽  
Vol 8 (2) ◽  
pp. 4591-4596
Keyword(s):  
Rapid Development ◽  
User Interaction ◽  
Test System ◽  
General Purpose ◽  
Virtual Instrumentation ◽  
Labview Software ◽  
Test And Evaluation ◽  
Automated Test System ◽  
Automated Test ◽  
Component Interface

The aim of this paper is to develop an Automated Test System (ATS) for the Test and Evaluation of C-Band Transmitter packages for GEOSAT Space crafts using Virtual Instrumentation. Efficiency, coverage, quality and accuracy for the test and evaluation of Device Under Test (DUT) can be increased by Automated Testing. Minimizing the errors anticipated with manual intervention. Automated Test System using Virtual instrumentation (VI) combines rapid development software and modular, flexible hardware to create user-defined test systems. Here Modular PXI (Peripheral component interface Extensions for Instrumentation) instruments from National Instruments are used with NI-LabVIEW software for realizing the ATS. For characterizing the C-Band Transmitter, Spectrum analyzer & Digital Multimeter (DMM) is configured in PXI form-factor and the Power supply is controlled through GPIB (General Purpose Interface Bus) bus. The complete software is developed using NI LabVIEW which takes care of configuring the test condition and analyzing the DUT performance. The user friendly GUI well takes care of user interaction to the ATS.

Image fusion performance metric based on mutual information and entropy driven quadtree decomposition

2010 ◽  
Vol 46 (18) ◽  
pp. 1266 ◽  
Author(s):  
M. Hossny ◽  
S. Nahavandi ◽  
D. Creighton ◽  
A. Bhatti
Keyword(s):  
Mutual Information ◽  
Image Fusion ◽  
Quadtree Decomposition ◽  
Performance Metric
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