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2015 23rd signal processing and Communications applications conference, SIU 2015 - Proceedings

2015 23rd Signal Processing and Communications Applications ...

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2015 23rd signal processing and Communications applications conference, SIU 2015

ISBN: (纸本)9781467373869

The proceedings contain 651 papers and 1 PowerPoint presentation. The topics discussed include: optical disc detection based on intensity and feature in the retinal images;classification with extreme learning machine and ensemble algorithms over randomly partitioned data;cryptography with compressive sensing orthogonal matching pursuit method;detecting the attention state of an operator in continuous attention task using EEG-based brain-computer interface;ensemble methods for opinion mining;cooperative spectrum sharing for cognitive radio networks using spatial modulation at secondary users;analysis of negativity and relative entropy of entanglement measures for qubit-qutrit quantum communication systems;a novel approach for image compression based on multi-level image thresholding using discrete wavelet transform and cricket algorithm;modelling black hole attacks on cluster-based wireless sensor networks;and improving the LEACH protocol on wireless sensor network.

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An adaptive projection algorithm for multirate filter bank optimization 8

An adaptive projection algorithm for multirate filter bank o...

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8th European signal processing conference, EUSIPCO 1996

作者： Huang, Dong-Yan Regalia, Phillip A. Departement Signal and Image Institut National des Telecommunications 9 rue Charles Fourier Evry cedexF-91011 France

We develop a new algorithm for multirate filter bank optimization, which finds application in subband coding or wavelet signal analysis. Although some impressive off-line algorithms have recently been developed for this purpose, the computation demand of such algorithms often renders them prohibitive for real-time applications. In this vein, adaptive filtering solutions remain of interest. A simple gradient descent algorithm may be ill suited due to the nonquadratic nature of the cost function to be minimized, and accordingly non gradient algorithms may offer some attractive alternatives. The present paper describes a projection type algorithm, which aims to construct a lossless filter bank such that one of its impulse responses lies close to an extremal eigenvector of the input signal autocorrelation matrix. Though a formal convergence proof of the algorithm is not offered, simulations show that the algorithm converges to an acceptable vicinity of the global minimum point of the cost function. © 2015 European signal processing conference, EUSIPCO. All rights reserved.

关键词： Cost functions

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Efficient Resolution Enhancement Algorithm for Compressive Sensing Magnetic Resonance image Reconstruction 18th

Efficient Resolution Enhancement Algorithm for Compressive S...

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18th International conference on image Analysis and processing (ICIAP)

作者： Omer, Osama A. Bassiouny, M. Atef Morooka, Ken'ichi Kyushu Univ Grad Sch Informat Sci & Elect Engn Nishi Ku Fukuoka 8190395 Japan Aswan Univ Dept Elect Engn Aswan 81542 Egypt Arab Acad Sci Technol & Maritime Transport Aswan Egypt

ISBN: (纸本)9783319232317;9783319232300

Magnetic resonance imaging (MRI) has been widely applied in a number of clinical and preclinical applications. However, the resolution of the reconstructed images using conventional algorithms are often insufficient to distinguish diagnostically crucial information due to limited measurements. In this paper, we consider the problem of reconstructing a high resolution (HR) MRI signal from very limited measurements. The proposed algorithm is based on compressed sensing, which combines wavelet sparsity with the sparsity of image gradients, where the magnetic resonance (MR) images are generally sparse in wavelet and gradient domain. The main goal of the proposed algorithm is to reconstruct the HR MR image directly from a few measurements. Unlike the compressed sensing (CS) MRI reconstruction algorithms, the proposed algorithm uses multi measurements to reconstruct HR image. Also, unlike the resolution enhancement algorithms, the proposed algorithm perform resolution enhancement of MR image simultaneously with the reconstruction process from few measurements. The proposed algorithm is compared with three state-of-the-art CS-MRI reconstruction algorithms in sense of signal-tonoise ratio and full-with-half-maximum values.

关键词： MRI wavelet transform Sparsity Resolution enhancement

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Improvement of Linear Filter in image Denoising

Improvement of Linear Filter in Image Denoising

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International conference on Intelligent Earth Observing and applications (IEOAs)

作者： Kong, Lingshuai Wen, Hongyan Guo, Lei Wang, Qingtao Han, Yakun Guangxi Key Lab Spatial Informat & Geomat Guilin 541004 Guangxi Peoples R China Guilin Univ Technol Coll Geomat & Geoinformat Guilin 541004 Guangxi Peoples R China Guilin Univ Technol Guangxi Sci Expt Ctr Min Met & Environm Guilin 541004 Guangxi Peoples R China

ISBN: (纸本)9781510600492

image noise is one of important factors that affects quality of image in the process of remote sensing imaging. So. the image de-noising is a basic and key technology in the field of image processing. In this paper, the classical linear filtering, such as arithmetic average filter, harmonic mean filter, and geometric mean filter, are applied to do the image de-noising and the analysis for the characteristics of each de-noising method. The improvement scheme of the linear filtering which based on the mean filtering is proposed by the way of adding the threshold, and the root mean square error (MSE) and peak signal to noise ratio (PSNR) are used on its accuracy evaluation.

关键词： Linear Filtering Mean Filter denoising threshold

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Compression of Digital Holographic Data: an Overview 38

Compression of Digital Holographic Data: an Overview

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conference on applications of Digital image processing XXXviiI

作者： Dufaux, Frederic Xing, Yafei Pesquet-Popescu, Beatrice Schelkens, Peter Telecom ParisTech Inst Mines Telecom CNRS LTCI F-75013 Paris France Vrije Univ Brussel Dept Elect & Informat ETRO B-1050 Brussels Belgium IMinds Dept Future Media & Imaging B-9050 Ghent Belgium

ISBN: (纸本)9781628417654

Holography has the potential to become the ultimate 3D experience. Nevertheless, in order to achieve practical working systems, major scientific and technological challenges have to be tackled. In particular, as digital holographic data represents a huge amount of information, the development of efficient compression techniques is a key component. This problem has gained significant attention by the research community during the last 10 years. Given that holograms have very different signal properties when compared to natural images and video sequences, existing compression techniques (e.g. JPEG or MPEG) remain suboptimal, calling for innovative compression solutions. In this paper, we will review and analyze past and on-going work for the compression of digital holographic data.

关键词： Digital holography computer generated holography wavelets direction-adaptive discrete wavelet transform packet decompositions vector lifting scheme JPEG 2000 image compression

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Using image processing on MRI Scans

Using Image Processing on MRI Scans

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2015 IEEE International conference on signal processing, Informatics, Communication and Energy Systems, SPICES 2015

作者： Patil, Chetan Mathura, M.G. Madhumitha, S. David, S. Sumam Fernandes, Merwyn Venugopal, Anand Unnikrishnan, B. Dept. of EandC NITK Surathkal Mangalore575025 India Dept. of Radiology Kasturba Medical College Mangalore575001 India Dept. of Community Medicine Kasturba Medical College Mangalore575001 India

ISBN: (纸本)9781479918232

Alzheimer's disease (AD) is an irreversible and progressive brain disease that gradually destroys memory and thinking skills to an extent that it starts affecting the daily life. It has become the most common cause of dementia among older people. The work presented in this paper evaluates the utility of image processing on the Magnetic Resonance Imaging (MRI) scans to estimate the possibility of an early detection of AD. The total brain atrophy and specifically the hippocampal atrophy are considered strong diagnostic tests for AD. T1 weighted MRIs have been used for the purpose of image processing to evaluate atrophy. The paper demonstrates the applications of several image processing techniques such as K-means clustering, wavelet transform, watershed algorithm and also a customized algorithm tailored for the specific case. It has been implemented on the open source platforms, OpenCV and Qt, which facilitates the implementation and utility of the developed product in the hospitals without requiring any proprietary software. The results obtained from the project could aid the analysis to detect AD along with correlation with the psychiatric results and could thus assist the doctors in detecting AD at an early stage. This could progressively help in understanding and treating AD. © 2015 IEEE.

关键词： image segmentation

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Content Based image Retrieval by Combining Feature Vector

Content Based Image Retrieval by Combining Feature Vector

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International conference on Wireless Communications, signal processing and Networking

作者： S. D. Ruikar Rohit S. Kabade Electronics Engg Dept. Walchand College of Engineering Sangli India Electronics & Comm. Engg Dept PVPIT Budhgaon Sangli India

ISBN: (纸本)9781467393393

This paper describes the searching problem of images stored in big databases i.e. content based image retrieval (CBIR) system. It represents the behaviour and proposes solution for it. In general vast deployment in various applications therefore the capacity of image database increases because it's needed efficient CBIR method. This paper uses the primary image features like colour, shape and texture. This primary features take out using various algorithms those are useful to obtain similarity check into images. It describes the result using MATLAB software application, with a large image database. It utilizes feature of colour, texture and shape of the database images for comparison purpose and further for obtaining of image and it including relevance.

关键词： Color Shape Texture wavelet Etc

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Data Compression in Wireless Visual Sensor Networks using wavelets

Data Compression in Wireless Visual Sensor Networks using Wa...

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International conference on Wireless Communications, signal processing and Networking

作者： Shabir Ahmad Sofi Roohie Naaz Department of Information Technology National Institute of Technology Srinagar Hazratbal Kashmir India Department of Computer Science & Engineering National Institute of Technology Srinagar Hazratbal Kashmir India

ISBN: (纸本)9781467393393

Wireless Sensor Networking is a sensor information gathering technology that has a wide range of applications in numerous fields. However due to the fact that sensor nodes have limited battery and are deployed in remote and harsh environments, energy efficient and real time transmission of the information are still open challenges. Since in a wireless sensor network data transmission is the most power consuming task, so far most useful techniques for the purpose of energy efficient and real time transmissions are based on data compression, the majority of them are based on wavelet transform. This paper give performance analysis of different wavelets for energy efficient and real time image data transmission in application like environment monitoring using wireless visual sensor networks. The performance evaluation shows that Haar wavelet is better in terms of energy efficiency and transmission time.

关键词： Wireless Visual Sensor Network (WVSN) Discrete wavelet Transform (DWT) Skipped High-pass Sub-band (SHPS) Data Compression

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A Selective Bitplane Based Encryption of Grayscale images with Tamper Detection, Localization and Recovery Based on Watermark 2

A Selective Bitplane Based Encryption of Grayscale Images wi...

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2nd International conference on Information Systems Design and Intelligent applications (INDIA)

作者： Som, Sukalyan Sen, Sayani Mahapatra, Suman Palit, Sarbani Barrackpore Rastraguru Surendranath Coll Dept Comp Sci Kolkata India Univ Kalyani Dept Comp Sci & Engn Kalyani 741235 W Bengal India Indian Stat Inst CVPR Unit Kolkata India

ISBN: (纸本)9788132222507;9788132222491

Ciphered data need an additional level of protection in order to safeguard them from being tampered after the decryption phase. Ciphered data, upon being deciphered by the intended receiver, is unprotected and it can be easily doctored by ever-developing, sophisticated image processing softwares. In the proposed scheme, we introduce a selective bitplane based encryption of grayscale images coupled with the facility of tamper detection, localization and restoration based on DWT based digital watermark. The original image is first sub-divided into blocks where Discrete wavelet Transform (DWT) is applied to generate the watermark. This is embedded in four disjoint portions of the image to increase the probability of restoration of the tampered image from tampers. To add another level of security to the transmission of the watermarked image a selective bitplane based encryption based on chaos is applied. The watermarked image is first partitioned into its constituent bitplanes and then first four bitplanes from Most Significant Bitplane (MSB) is encrypted by a chaos based pseudorandom binary number generator (PRBG). The enciphered bitplanes are concatenated with unencrypted ones to produce the cipher watermarked image. The validity and novelty of the proposed scheme is verified through exhaustive simulations using different images of two well-known image databases.

关键词： Discrete wavelet transform Chaos Cryptography 1D logistic map Information entropy Peak-signal-to-noise-ratio (PSNR)

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DESIGN OF EFFECTIVE LOW POWER image COMPRESSION ALGORITHM

DESIGN OF EFFECTIVE LOW POWER IMAGE COMPRESSION ALGORITHM

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International conference on Wireless Communications, signal processing and Networking

作者： G. Epshi V. Saravanan B. Venkatalakshmi Velammal Engineering College Chennai- 600066 India

ISBN: (纸本)9781467393393

For satellite communication, large amount of data storage and transmission are involved as the satellites send data all the time, all day. Storing all these data and analyzing them for various purposes is possible using small low cost memory devices only with the help of image compression. image compression is the process of removing the redundant information from the image and it can be stored to reduce the storage size, transmission bandwidth and time. image compression aims at removing duplication from the source image and is essential for applications such as transmission and storage in an efficient form. The objective of the work is to develop an efficient low power image compression algorithm which compress it with higher compression ratio in such a way that the output compressed image becomes compatible for satellite communication. The proposed system should own a light weight algorithm which has the characteristics of minimum power consumption, less compression time and should meet a higher compression ratio. To do image compression, quad tree fractal image compression and an adaptive fractal wavelet image compression algorithm are selected and their performance in terms of mean square error, ratio of compression and peak signal to noise ratio are evaluated.

关键词： Fractal Range block image compression Quad tree

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