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Double Density Dual Tree Discrete wavelet Transform implementation for Degraded image Enhancement 10

Double Density Dual Tree Discrete Wavelet Transform implemen...

引用

10th National conference on Mathematical Techniques and its applications (NCMTA)

作者： Vimala, C. Priya, P. Aruna SRM Inst Sci & Technol Dept Elect & Commun Engn Kattankulathur India

wavelet transform is a main tool for image processing applications in modern existence. A Double Density Dual Tree Discrete wavelet Transform is used and investigated for image denoising. images are considered for the analysis and the performance is compared with discrete wavelet transform and the Double Density DWT. Peak signal to Noise Ratio values and Root Means Square error are calculated in all the three wavelet techniques for denoised images and the performance has evaluated. The proposed techniques give the better performance when comparing other two wavelet techniques.

关键词： image enhancement

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A Comparative Study on Fusion of Visible and Infrared images 26

A Comparative Study on Fusion of Visible and Infrared Images

引用

26th IEEE signal processing and Communications applications conference (SIU)

作者： Talipoglu, Sadettin Durmus Kayabol, Koray Ince, Kutalmis Gokalp Gebze Tekn Univ Elekt Muhendisligi Kocaeli Turkey ASELSAN AS Ankara Turkey

ISBN: (纸本)9781538615010

In this paper, principal component analysis (PCA), laplacian pyramid (LP), discrete wavelet transform (DWT), non-subsampled contourlet transform (NSCT), Bayesian PCA (BPCA), and non-negative matrix factorization (NMF) methods are compared in order to obtain a single informative image from visible and thermal images. The quality of the fused images obtained in the experimental studies is evaluated using five different quality metrics.

关键词： image fusion visible image thermal image bayesian structure

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Design and Simulation of ZnO based Acetone Gas Sensor using COMSOL Multiphysics

Design and Simulation of ZnO based Acetone Gas Sensor using ...

引用

International conference on signal processing and Integrated Networks (SPIN)

作者： K. Arun M.S. Lekshmi K.J. Suja National Institute of Technology Calicut India

ISBN: (数字)9781728154756

ISBN: (纸本)9781728154763

Acetone gas is a breath marker for diabetes detection. Metal oxide gas sensors have been widely used for gas sensing applications. Zinc oxide (ZnO) is a promising material for Acetone gas detection. Metal oxide semiconductors require a high-temperature environment for detecting the target gas. The temperature generated from the micro-heater has a great influence on the concentration of gas adsorbed on the surface and also the resistance of the sensing layer. The temperature should be uniformly distributed on the surface of the heater for the better performance of the sensor. In this work, a meander shaped micro-heater is used for the ZnO sensor for Acetone gas detection. The Scanning electron microscopic image of the synthesized ZnO was found to have a spherical shape and the same structure was given for the sensing layer in the simulation. Platinum is used as the heating material because of its high thermal conductivity and low power consumption. The variation of the temperature of the heating material with respect to the input voltage was analyzed. The variation of the resistance of the sensing layer with respect to the target gas was also analyzed. The resistance of the sensing layer was found to decrease in the presence of Acetone gas. The simulation was done using COMSOL Multiphysics.

关键词： Zinc oxide Gas detectors Temperature sensors ii-VI semiconductor materials Heating systems

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Secure Encryption by Combining Asymmetric and Symmetric Cryptographic Method for Data Collection WSN in smart Agriculture 5

Secure Encryption by Combining Asymmetric and Symmetric Cryp...

引用

5th IEEE Annual International Smart Cities conference (ISC2)

作者： Ametepe, Adote Francois-Xavier Ahouandjinou, Semevo Arnaud R. M. Ezin, Eugene C. Univ Abomey Calavi UAC Inst Format & Rech Informat IFRI Cotonou Benin UAC Lab Sci Informat & Applicat LRSIA Cotonou Benin UCLO Lab Informat Signal & Image Cote Opale LISIC Calais France UAC Inst Math & Sci Phys IMSP Godomey Benin

ISBN: (纸本)9781728108469

The exponential outgrowth of wireless sensor networks and the Internet of Things with emerging of cheap applications are facilitating this age, when all things are becoming smarter, wireless and more connected. Designing a secure, a scalable, a robust, and a reliable WSN needs sufficient knowledge to overcome the inherited limitations of storage capacity, processing power, and communication range. According to [4], cryptographic techniques and key management tools to bring computational and space challenges to resource constraint hardware. In this paper, we design a secure service architecture for data transmission in an intelligent network for a crop monitoring in agriculture fields. The proposed cryptosystem using an hybrid approach by combining asymmetric and symmetric of cryptographic depending on architecture level The first experiments results obtained by using sensors such as ATMega, MSP and Raspberry range are very encouraging and support our idea.

关键词： Wireless Sensor Network Internet of Things Advanced Encryption Standard Elliptic Curve Cryptography

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Analysis on FFT and DWT Transformations in image processing

Analysis on FFT and DWT Transformations in Image Processing

引用

Emerging Trends in Science and Engineering (ICESE), International conference on

作者： G. Susrutha K. Mallikarjun M. Ajay Kumar M. Ashok MRIET Shri JJT University

ISBN: (数字)9781728118710

ISBN: (纸本)9781728118727

An image processing is a coming out research which needs heed in bio-medical field. There are many image processing methods which are useful to bring out information for analysis, memory space and conserves computing time. Transformation is one of image processing techniques. Some of the transformation techniques are wavelet transform, Hilbert transform, Radon Transform, Fourier transform etc. Transformation techniques are chosen based on their applications, advantages and disadvantages. The wavelet transformation be a technique which equates time domain and frequency domain. It is exactly as popular as the time-frequency representation of a non -stationary signal. Where Fourier transform breaks down the image into real and imaginary components, which is nothing but representation of image in frequency domain. In this paper, discrete wavelet transform using Haar and fast Fourier transform are applied on images using MATLAB 2018a.

关键词： Discrete wavelet transforms Fourier transforms Time-frequency analysis Low pass filters

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Design of Parallel Pipelined Architecture For wavelet Based image Compression Using Daubechie’s

Design of Parallel Pipelined Architecture For Wavelet Based ...

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IEEE International conference on Intelligent Techniques in Control, Optimization and signal processing (INCOS)

作者： N Bhuvaneswary. Bandi Sivasankarreddy Eda Harshavardhanreddy G. Gopi Kalasalingam Academy of Research and Education

In this project, we have a tendency to be visiting exhibit VLSI design for 2D Daubechies wavelet primarily based compression. The Daubechies wavelet transform provides mean values that compress the image so it takes up a lot of less space for storing, and thus transmits quicker electronically and in progressive levels of detail. Element worth are protected by the scaling issue from prodigious their limits. To implement the system numerous levels of scaling factors given and spitted into two level. These values enforced for numerous levels of 2D-DWT. We have a tendency to store the worthiest in buffer technique and simulate the output of VLSI system. The parallel-pipelined design obtained by RTL schematic. This buffer memory design employed for input, output memory storage. This buffer memory design is employed for input output memory storage. Compared to different typical technique the performance of this design is extremely economical in compression ratio, PSNR (Peak signal to Noise Ratio), MSE (Mean sq. Error) and Time. This design is extremely economical to handle any image size. The proposed design has high compression quality as well as high speed and area-efficiency. Thisd esign is applicable for high-speed image compression and memory storage applications.

关键词： image coding wavelet transforms PSNR Standards Very large scale integration Buffer storage

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image splicing detection with dwt domain extended Markov features 26

Image splicing detection with dwt domain extended Markov fea...

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26th IEEE signal processing and Communications applications conference, SIU 2018

作者： Yildirim, Esra Odabas Ulutas, Guzin Bilgisayar Muhendisliǧi Bolumu Ataturk Universitesi Erzurum Turkey Bilgisayar Muhendisliǧi Bolumu Karadeniz Teknik Universitesi Trabzon Turkey

ISBN: (纸本)9781538615010

Recently, image forgery has increased with the widespread of using digital images. At least two different images are used when forged images are generated in image splicing which is an image forgery method. Forged and original images are detected with features extracted from the image. In this study, a Discrete wavelet Transform and Markov based method is used to extract/construct feature vectors. Firstly, with applying Discrete wavelet Transform to the image low frequency component image is obtained, later four-direction Markov features are extracted from the low frequency component image. After the feature extraction, images are classified as forged and original with support vector machines. The method has been tested for accuracy ratio in the commonly used data sets (Casia v1.0, Casia v2.0, Columbia DVMM) in image Splicing Detection. In the experimental results, it was seen that forged and orjinal images are detected with high accuracy ratio compared with the similar methods in the literature. © 2018 IEEE.

关键词： Discrete wavelet transforms

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image FUSION USING BELIEF PROPAGATION

IMAGE FUSION USING BELIEF PROPAGATION

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IEEE International conference on Acoustics, Speech and signal processing (ICASSP)

作者： Hill, Paul Bull, David Univ Bristol Dept Elect & Elect Engn Bristol BS8 1UB Avon England

ISBN: (纸本)9781538646588

This paper describes the application of belief propagation methods to image fusion within a complex wavelet decomposition (the Dual Tree Complex wavelet Transform: DT-CWT). Belief propagation within each transform subband iterates through a lattice based Bayesian belief network. This leads to precisely controlled spatial coherence of subband coefficient fusion through the definition of belief graph probabilities. This results in a significant improvement in quantitatively measured fusion performance for a large database of over 160 fusion image pairs from a range of fusion applications including remote sensing, multi-focus and multi-modal sources. Improvements in qualitative image fusion performance is also demonstrated.

关键词： image Fusion wavelets Bayesian Belief Networks Bayesian Belief Propagation

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wavelet-Energy-Weighted Local Binary Pattern Analysis for Tire Tread Pattern Classification

Wavelet-Energy-Weighted Local Binary Pattern Analysis for Ti...

引用

International conference on Imaging, signal processing and Communication (ICISPC)

作者： Ying Liu Shuai Zhang Fuping Wang Kengpang Lim Qiqi Liu Yanbo Lei Yanchao Gong Jin Lu National Key Lab. of Electronic Information Processing for Applications in Crime Scene Investigation Ministry of Public Security China Center for Image and Information Processing Xi'an University of Posts and Telecommunications China

Tire tread pattern image classification plays an important role in crime scene and traffic accident investigation. Due to the lack of standard test dataset, there is little work done in this area. For efficient texture feature description, inherent characteristic of tire patterns need to be considered. Leveraging on the directionality characteristics of tread patterns, a novel texture feature extraction algorithm is proposed based on adaptive weighted feature fusion with the weights defined by sub-band energy ratio. The proposed approach consists of: (1) discrete wavelet decomposition of tire tread image to obtain low frequency, horizontal, vertical and diagonal sub-bands; (2) extraction of rotation-invariant uniform local binary pattern features from the sub-band images; (3) concatenating the tread pattern directional features, weighted by their corresponding sub-band energies. Applying SVM for tire tread pattern classification, experimental results on real-world tire tread patterns show that the proposed texture feature extraction algorithm is outperforms other prior methods.

关键词： Tires Feature extraction Discrete wavelet transforms Information processing Telecommunications image reconstruction Support vector machines

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The role of the coarsest resolution subband in the wavelet-based reconstruction of signals from gradients 10

The role of the coarsest resolution subband in the wavelet-b...

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10th International conference on Computer and Electrical Engineering

作者： Sevcenco, Ioana S. Agathoklis, Panajotis Univ Victoria Elect & Comp Engn Dept Victoria BC Canada

An efficient wavelet-based algorithm to reconstruct non-square/non-cubic signals from gradient data is proposed. This algorithm is motivated by applications such as image or video processing in the gradient domain. In some earlier approaches, the non-square/non-cubic gradients were extended to enable a square/cubic Haar wavelet decomposition and the coarsest resolution subband was derived from the mean value of the signal. In this paper, a nonsquare/non-cubic wavelet decomposition is obtained directly without extending the gradient data. The challenge comes from finding the coarsest resolution subband of the wavelet decomposition and an algorithm to compute this is proposed. The performance of the algorithm is evaluated in terms of accuracy and computation time, and is shown to outperform the considered earlier approaches in a number of cases. Further, a closer look on the role of the coarsest resolution subband coefficients reveals a trade-off between errors in reconstruction and visual quality which has interesting implications in image and video processing applications.

关键词： wavelet decomposition

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