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2nd International Conference on Inventive Systems and Control (ICISC)

作者： Karthikeyan, R. Hegde, Ganapathi Amrita Vishwa Vidyapeetham Dept Elect & Commun Engn Amrita Sch Engn Bengaluru India

ISBN: (纸本)9781538608074

In the image and video processing industry, Video Compression is the major concern to take care of, which efficiently deals many applications include Medical image processing, Broadcasting Scenarios and many more. This kind of compression takes much processing compare to the normal image compression methods, because video processing contains lots of frames associated with it and large amount of memory is required to process with as well as time taken is more to processing the videos. For these issues, a new methodology is required to handle such problems, three dimensional(3-D) discrete wavelet Transform (DWT) is introduced over here to decompose the video into frames substantially with proper signal levels as well as make them as a set of finite rules. This 3-D DWT methodology is mainly used in this approach to reduce the difficult processing delay and improves the throughput efficiency. In this paper, Lifting Approach is used to process the input in more refined manner, which reduces the memory consumption over processing as well as minimize the difficult path-delay over DWT orientations. That is the reason with this approach, the combination of both 3-D DWT and Lifting Scheme are used to attain higher efficiency, lowest delay and highest throughput compare to several past analysis.

关键词： 3-D DWT DWT with Lifting Scheme VLSI Video Compression wavelet Transformation Throughput

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Speech signal De-noising using wavelet Transform and Different Standard Softwares: Performance Evaluation and Comparisons Study 5

Speech Signal De-noising using Wavelet Transform and Differe...

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5th IEEE-Uttar-Pradesh-Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)

作者： Lavi Ahuja, Amit Kumar Meerut Inst Engn & Technol Dept Elect & Commun Engn NH-58Baghpat Rd Meerut 250005 Uttar Pradesh India

ISBN: (纸本)9781538650028

Speech signal processing is used in many applications. There exist situations where conversation takes place under high noise environment. A specific example is the telephonic conversations held at airport with background aeroplane sound. Other examples are the conversation held in industrial environment with high noise machines, in railway stations etc. In all of these conditions, conversation (voice signal) get corrupted by background sound (noise) reducing its intelligibility. Thus, the need arises for an effective method that helps in reducing the background noise thereby increasing clarity of the conversation. wavelet Transform (WT) is widely used for audio, image and video signal processing. This paper presents a wavelet-based approach to reduce the effect of background noise. This approach is compared with the standard, freely available softwares such as Audacity, Wavepad and Ocenaudio which are widely used for the purpose of noise reduction. The AWGN (Additive White Gaussian Noise) is assumed to be a model of background noise. Using extensive simulation study and analysis which is carried out using MATLAB (R) 2016a, WT based approach is found to perform better than the other standard softwares that are considered here. Correlation co-efficient is considered as a measure of performance improvement by the WT approach over the other software. The work has useful implications in various applications in which speech signal gets degraded by background noise.

关键词： Audacity Ocenaudio Wavepad wavelet Transform Noise removal AWGN

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Theory and applications of Time-Frequency Methods for Analysis of Non-Stationary Vibration and Seismic signal 2018

Theory and Applications of Time-Frequency Methods for Analys...

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2nd International Conference on Vision, image and signal processing (ICVISP)

作者： Kumar, Roshan Zhao, Wei Henan Univ Miami Coll Dept Elect Kaifeng 475004 Henan Peoples R China

ISBN: (纸本)9781450365291

The classical Fourier transform method does not reveal the temporal information of the signal, whereas the time-frequency methods provide the comprehensive information of non-stationary signal over the time-frequency plane. Based on the typical non-stationary signals several time-frequency methods such as short time Fourier transform, wavelet transform, Wigner -Ville distribution, Pseudo Wigner -Ville distribution, Hilbert Huang transform are evaluated. In this paper, these time-frequency methods are compared to the performance of Gabor -Wigner transform which proves the effectiveness of the GWT in comparison to other methods. The efficacy of this method is validated by two different numerical case studies, and it is further applied for damage detection of buildings which provides a significant information pertaining to damage to the building.

关键词： Fourier transform Time-frequency Cross-term Damage Gabor-Wigner Transform

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Adaptive PET/CT fusion using empirical wavelet transform 2nd

Adaptive PET/CT fusion using empirical wavelet transform

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2nd International Conference on Computational Intelligence and Informatics, ICCII 2017

作者： Barani, R. Sumathi, M. V.V.Vanniaperumal College for Women VirudhunagarTamil Nadu626001 India Sri Meenakshi Government Arts College for Women MaduraiTamil Nadu625021 India

ISBN: (纸本)9789811082276

Empirical wavelet Transform (EWT) is an adaptive signal decomposition technique in which the wavelet basis is constructed based on the information contained in the signal instead of a fixed basis as in standard wavelet Transform (WT). Its adaptive nature enables EWT in many image processing applications like image denoising, image compression, etc. In this paper, a new adaptive image fusion algorithm is proposed for combining CT and PET images using EWT. EWT first decomposes both the images into approximate and detailed components using the adaptive filters that are constructed according to the content of an image by estimating the frequency boundaries. Then, the corresponding approximate and detailed components of CT and PET images are combined by using appropriate fusion rules. An adaptive EWT image fusion, a newly proposed method, is compared with standard WT fusion using the image quality metrics, image fusion metrics and error metrics. The quantitative analysis proved that the newly proposed method results in better quality than the standard WT method. © 2018, Springer Nature Singapore Pte Ltd.

关键词： image fusion

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image forensics using color illumination, block and key point based approach

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MULTIMEDIA TOOLS AND applications 2018年第19期77卷 26033-26053页

作者： Thakur, Abhishek Jindal, Neeru Thapar Univ ECED Patiala Punjab India

Every individual is keen to exhibit socialism and connectedness posting their personal photos and videos on several social websites. Thus, it has become literally easy for the onlookers to see and modify their photos and videos. Here the concept enumerates in picture as image forensics, whereby it is possible to examine the authenticity and genuineness of photograph and video into consideration. In addition to this,nowadays photograph and videos are considered as a firm and valid proof in the court room for investigation, validation and judgement. Several experts are continuously working in an image forensic field to discover and develop better techniques for the detection of forgeries in image and videos. Detection of image forgeries is done in two ways. Firstly the forged image we are already familiar with is called active forgery detection technique and secondly, where we don't know the forgery, then is referred to as the passive forgery detection technique. Passive technique is incorporated to detect forgery in this paper where hybridization is used. We have used DWT, color illumination Algorithm, SLIC Algorithm;SIFT Algorithm, Correlation Coefficient Map generation Algorithm, Block Matching Threshold Algorithm and Feature Extraction Algorithm for the detection and ramifying forgeries. The novelty of the proposed hybrid technique is the use of color illumination which detect image edges and trace them correctly to detect forged region. We have tested 48 images from database and find out image forgery detection at image level with Precision=97. 25%;Recall=100% and F1=98. 53%.

关键词： Digital signal processing (DSP) image forgery (IF) Discrete wavelet transform (DWT) Simple linear iterative clustering (SLIC) Block matching threshold (BMT) Feature extraction (FE)

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COMPARISON OF OPTIMIZED MATHEMATICAL METHODS IN THE IMPROVEMENT OF RASTER DATA AND MAP DISPLAY RESOLUTION OF SENTINEL-2 imageS 25

COMPARISON OF OPTIMIZED MATHEMATICAL METHODS IN THE IMPROVEM...

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25th IEEE International Conference on image processing (ICIP)

作者： Bratsolis, Emmanuel Panagiotopoulou, Antigoni Stefouli, Marianthi Charou, Eleni Madamopoulos, Nicholas Perantonis, Stavros NCSR Demokritos Inst Informat & Telecommun Aghia Paraskevi 15310 Greece Greek Inst Geol & Mineral Explorat IGME Acharne 13677 Greece Hellen Air Force Acad Dept Aeronaut Sci Tga 1010 Dhekeleia Greece

ISBN: (纸本)9781479970612

High-Resolution (HR) satellite images are a prerequisite in many applications such as astronomy, remote sensing, geoscience and geographical information systems, not only for providing better visualization but also for extracting extra information details. In the present work a comparative study of different single image resolution enhancement techniques is carried out on Sentinel-2 images of bands B2, B3, B4 and B8. The authors describe the stochastic regularized super-resolution (SR) reconstruction technique and compare with others. The techniques under comparison are stochastic regularized SR reconstruction (SRSR), spatial-wavelet SR reconstruction (SWSR) and the conventional interpolation techniques nearest neighbor (NN), bilinear (BL), bicubic (BC) and spline (SP). These techniques are tested against each other in terms of Root Mean Square Error (RMSE), Xydeas and Petrovich (XP), and Correlation Coefficient (CC). Simulated experiments of single image resolution increase take place.

关键词： Stochastic regularized technique spatial-wavelet transform super-resolution reconstruction interpolation satellite image resolution enhancement

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Multi-dimensional Digital signal Integration With applications In image, Video And LightField processing

Multi-dimensional Digital Signal Integration With Applicatio...

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作者： Ioana Speranta Sevcenco Victoria University

学位级别：博士

Multi-dimensional digital signals have become an intertwined part of day to day life, from digital images and videos used to capture and share life experiences, to more powerful scene representations such as light field images, which open the gate to previously challenging tasks, such as post capture refocusing or eliminating visible occlusions from a scene. This dissertation delves into the world of multi-dimensional signal processing and introduces a tool of particular use for gradient based solutions of well-known signal processing problems. Specifically, a technique to reconstruct a signal from a given gradient data set is developed in the case of two dimensional (2-D), three dimensional (3-D) and four dimensional (4-D) digital signals. The re- construction technique is multiresolution in nature, and begins by using the given gradient to generate a multi-dimensional Haar wavelet decomposition of the signals of interest, and then reconstructs the signal by Haar wavelet synthesis, performed on successive resolution levels. The challenges in developing this technique are non-trivial and are brought about by the applications at hand. For example, in video content replacement, the gradi- ent data from which a video sequence needs to be reconstructed is a combination of gradient values that belong to different video sequences. In most cases, such oper- ations disrupt the conservative nature of the gradient data set. The effects of the non-conservative nature of the newly generated gradient data set are attenuated by using an iterative Poisson solver at each resolution level during the reconstruction. A second and more important challenge is brought about by the increase in signal dimensionality. In a previous approach, an intermediate extended signal with sym- metric region of support is obtained, and the signal of interest is extracted from it. This approach is reasonable in 2-D, but becomes less appealing as the signal dimen- sionality increases. To avoid generating

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Enhancement of Compressed image Transmission in WMSNs Using Modified μ-Nonlinear Transformation

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IEEE COMMUNICATIONS LETTERS 2018年第5期22卷 934-937页

作者： Bouchemel, Ammar Abed, Djamel Moussaoui, Abdelkrim Univ 8 Mai 1945 Guelma Lab Control Avance Guelma 24000 Algeria Univ 8 Mai 1945 Guelma Dept Elect & Telecommun Guelma 24000 Algeria Univ 8 Mai 1945 Guelma Lab Genie Elect Guelma 24000 Algeria

Multimedia content delivery applications over wireless sensor networks have been progressively popular. The crucial obstacle to communicating compressed images over wireless multimedia sensor networks (WMSNs) has been the lack of suitable energy efficient processing architectures and strategies. In this letter, we propose a low-complexity energy efficient scheme to improve the transmission quality of images compressed by the embedded zerotrees of wavelet transforms and set partitioning in hierarchical trees algorithms in the WMSNs based on an orthogonal frequency-division multiplexing technique. The proposed scheme use a simple post-inverse discrete Fourier transform modified mu nonlinear transformation, called mu-MNLT. Simulation results show the effectiveness of the proposed approach, which gives an improvement of peak signal-to-noise ratio (SNR) of about 30 dB (at SNR = 8 dB) without any bit-error-ratio degradation.

关键词： EZW/SPIHT image compression image transmission wireless multimedia sensors networks (WMSNs)

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Robust Face Recognition Approaches Using PCA, ICA, LDA Based on DWT, and SVM algorithms 41

Robust Face Recognition Approaches Using PCA, ICA, LDA Based...

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41st International Conference on Telecommunications and signal processing (TSP)

作者： Lahaw, Zied Bannour Essaidani, Dhekra Seddik, Hassene ENSIT Prod Res Ctr CEREP 5 Av Taha Hussein Tunis 1008 Tunisia

ISBN: (纸本)9781538646953

Face Recognition represents one of the attracting research areas. It has drawn the attention of many researchers due to its varying applications such as database identification, identity authentication, surveillance and security access control human computer interaction.... In this order, different face recognition algorithms are proposed. These methods are based on the face representations. In order to use the most important information in the face representation, we propose to exploit the concept of 2D-DWT for the image compression as a pre-processing for feature extraction. In fact, the DWT is performed at different scales and orientations so it is sensitive to strong lighting conditions and facial details. Based on the DWT advantages, the LL sub-band of the processed image is used as input image for feature extraction process based on ICA, PCA, LDA and SVM algorithms. The importance of the proposed approaches is evaluated by experimental and comparative studies tested on AT&T database.

关键词： Face Recognition Discrete wavelet Transform Principal Component Analysis Linear Discriminant Analysis Independent Component Analysis Support Vector Machine

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Duality properties for the variants of the Discrete W Transform (DWT)

Duality properties for the variants of the Discrete W Transf...

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IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： B. N. Madhukar S. H. Bharathi School of Electronics and Communication Engineering Reva University Bengaluru India

ISBN: (数字)9781728137353

ISBN: (纸本)9781728137360

This paper gives the derivations of new duality properties for the four variants of the DWT. DWT and its variants are finite durational discrete transforms that are used in a host of applications in the fields of Digital signal processing, Digital image processing, Communication Systems, among a host of others. The Duality properties can be applied for the computation of the temporal signal from its frequency-domain counterpart or contra if and only if existing pair of DWT, including their counterparts, are known. The utility of the Duality properties lie in the abatement of computational complexity and disbursement intrinsically.

关键词： Discrete wavelet transforms Indexes Discrete transforms Discrete Fourier transforms Kernel

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