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Efficient Computation of the 8-point DCT via Summation by Parts

JOURNAL OF SIGNAL processing systems FOR SIGNAL image AND vIDEO TECHNOLOGY 2018年第4期90卷 505-514页

作者： Coelho, D. F. G. Cintra, R. J. Dimitrov, v. S. Univ Calgary Dept Elect & Comp Engn Calgary AB Canada Univ Fed Pernambuco Dept Estat Signal Proc Grp Recife PE Brazil Comp Modelling Grp Ltd Calgary AB Canada

This paper introduces a new fast algorithm for the 8-point discrete cosine transform (DCT) based on the summation-by-parts formula. The proposed method converts the DCT matrix into an alternative transformation matrix that can be decomposed into sparse matrices of low multiplicative complexity. The method is capable of scaled and exact DCT computation and its associated fast algorithm achieves the theoretical minimal multiplicative complexity for the 8-point DCT. Depending on the nature of the input signal simplifications can be introduced and the overall complexity of the proposed algorithm can be further reduced. Several types of input signal are analyzed: arbitrary, null mean, accumulated, and null mean/accumulated signal. The proposed tool has potential application in harmonic detection, imae enhancement, and feature extraction, where input signal DC level is discarded and/or the signal is required to be integrated.

关键词： DCT Fast algorithms image processing

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A benchmark study of automated intra-retinal cyst segmentation algorithms using optical coherence tomography B-scans

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2018年 153卷 105-114页

作者： Girish, G. N. Anima, v. A. Kothari, Abhishek R. Sudeep, P. v. Roychowdhury, Sohini Rajan, Jeny Natl Inst Technol Karnataka Dept Comp Sci & Engn Surathkal India Pink City Eye & Retina Ctr Jaipur Rajasthan India Natl Inst Technol Karnataka Dept Elect & Commun Engn Surathkal India Manipal Inst Technol Dept Elect & Commun Engn Manipal Karnataka India Univ Washington Dept Elect & Comp Engn Bothell WA USA

(Background and objectives): Retinal cysts are formed by accumulation of fluid in the retina caused by leakages from inflammation or vitreous fractures. Analysis of the retinal cystic spaces holds significance in detection and treatment of several ocular diseases like age-related macular degeneration, diabetic macular edema etc. Thus, segmentation of intra-retinal cysts and quantification of cystic spaces are vital for retinal pathology and severity detection. In the recent years, automated segmentation of intra-retinal cysts using optical coherence tomography B-scans has gained significant importance in the field of retinal image analysis. The objective of this paper is to compare different intra-retinal cyst segmentation algorithms for comparative analysis and benchmarking purposes. (Methods): In this work, we employ a modular approach for standardizing the different segmentation algorithms. Further, we analyze the variations in automated cyst segmentation performances and method scalability across image acquisition systems by using the publicly available cyst segmentation challenge dataset (OPTIMA cyst segmentation challenge). (Results): Several key automated methods are comparatively analyzed using quantitative and qualitative experiments. Our analysis demonstrates the significance of variations in signal-to-noise ratio (SNR), retinal layer morphology and post-processing steps on the automated cyst segmentation processes. (Conclusion): This benchmarking study provides insights towards the scalability of automated processes across vendor-specific imaging modalities to provide guidance for retinal pathology diagnostics and treatment processes. (C) 2017 Elsevier B.v. Allrights reserved.

关键词： Computer-aided diagnostics Cyst Macular edema Optical coherence tomography Retinal image Segmentation

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A River Flood Monitoring Technique based on image Splitting algorithms

A River Flood Monitoring Technique based on Image Splitting ...

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IEEE International Conference on Intelligent Data Acquisition and Advanced Computing systems

作者： Roberta Avanzato Francesco Beritelli Angelo Cavallaro Massimiliano Cuccia Tiziana Lombardo University of Catania Italy AC2 S.r.l. Advanced Consulting Zafferana Etnea CT Italy

The development of innovative solutions to reduce hydrogeological risk is one of the most important research topics of recent years. The paper proposes a technique for river flood detection based on image processing for sub-blocks. The tests carried out with the proposed method have shown that the system is able to estimate the flooding event with good precision and with very short timeframes. The research activity was carried out within the CORA (COntrollo del Rischio Ambientale, Environmental Risk Control) project financed by the Calabria Region (Italy).

关键词： Rivers Floods Monitoring Sensors image processing Cameras Satellites

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2D Logistic-Sine-coupling map for image encryption

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SIGNAL processing 2018年 149卷 148-161页

作者： Hua, Zhongyun Jin, Fan Xu, Binxuan Huang, Hejiao Harbin Inst technol Shenzhen Grad Sch Sch Comp Sci & Technol Shenzhen 518055 Peoples R China

image encryption is a straightforward strategy to protect digital images by transforming images into un-recognized ones. The chaos theory is a widely used technology for image encryption as it has many significant properties such as ergodicity and initial state sensitivity. When chaotic systems are used in image encryption, their chaos performance highly determines the security level. This paper presents a two-dimensional (2D) Logistic-Sine-coupling map (LSCM). Performance estimations demonstrate that it has better ergodicity, more complex behavior and larger chaotic range than several newly developed 2D chaotic maps. Utilizing the proposed 2D-LSCM, we further propose a 2D-LSCM-based image encryption algorithm (LSCM-IEA), which adopts the classical confusion-diffusion structure. A permutation algorithm is designed to permutate image pixels to different rows and columns while a diffusion algorithm is developed to spread few changes of plain-image to the whole encrypted result. We compare the efficiency of LSCM-IEA with several advanced algorithms and the results show that it has higher encryption efficiency. To show the superiority of LSCM-IEA, we also analyze the security of LSCM-IEA in terms of key security, ability of defending differential attack, local Shannon entropy and contrast analysis. The analysis results demonstrate that LSCM-IEA has better security performance than several existing algorithms. (C) 2018 Published by Elsevier B.v.

关键词： Chaos Cryptography image encryption Multimedia security

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Two-dimensional gray scale image denoising via, morphological operations in NSST domain & bitonic filtering

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FUTURE GENERATION COMPUTER systems-THE INTERNATIONAL JOURNAL OF ESCIENCE 2018年 82卷 158-175页

作者： Goyal, Bhawna Dogra, Ayush Agrawal, Sunil Sohi, B. S. Panjab Univ UIET Chandigarh 160017 India Chandigarh Univ Gharuan 140413 Punjab India

The denoising of an image is one of the most classical and basic step in image processing. The most challenging task is to design a feature preserving denoising algorithm. This article presents an efficient denoising method derived from morphological filtering in NSST domain and`Bitonic filtering. In the first stage the noisy components are processed by morphological circular disc operators i.e. Top Hat/Bottom Hat filtering in NSST domain;as Shearlet is a powerful multi-scale and multi-directional image representation tool. The resultant image is then decomposed into 8 bit planes and each bit plane is passed through bitonic filter separately. These filtered images are assembled to obtain the final denoised image. Experimental results on standard test images substantiate that the proposed method achieves reasonable and consistent denoising performance, especially in preserving fine structure information as compared with existing algorithms specifically at high noise levels. (C) 2018 Elsevier B.v. All rights reserved.

关键词： Morphological operations Shearlet Bitonic filter Bit-plane slicing Denoising

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Simultaneous Localisation And Mobilisation Using image processing

Simultaneous Localisation And Mobilisation Using Image Proce...

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Intelligent Computing and Control systems (ICCS), International Conference on

作者： Sahaya Sakila v. Abishek Narayanan Adithya Sai Selva Sabbarish Khanna S. SRM Institute of Science and Technology Chennai SRM Institute of Science and Technology Chennai India

ISBN: (数字)9781538681138

ISBN: (纸本)9781538681145

SLAM(Simultaneous Localisation And Mobilisation) is a problem in robotics that revolves around the idea of a robot which can map a location by moving around in a sequential manner. Robot has to move and as well as recognize the path its traversing through by stitching the images into a map. Most models that have been created till now only focuses on small scale indoor applications and do not have a scope for real time usage outside an experimental area. Our project focuses on a large scale approach on the problem that deals with ambiguity of real life scenarios and also additional features like pinpointing its location. Neural networks is used for image processing and mapping and various robotics algorithms are used for the mobilisation of the robot.

关键词： Robots Global Positioning System Roads Neural networks Probabilistic logic Heuristic algorithms Conferences

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Accuracy Enhancement of a Blind image Steganalysis Approach Using Dynamic Learning Rate-Based CNN on GPUs

Accuracy Enhancement of a Blind Image Steganalysis Approach ...

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IEEE International Conference on Intelligent Data Acquisition and Advanced Computing systems

作者： Eslam M. Mustafa Mohamed A. Elshafey Mohamed M. Fouad Military Technical College Cairo Egypt

Blind image steganalysis is the classification problem of determining whether an image contains any hidden data or not. This blind process doesn't need any prior information about the embedding algorithm which is used to hide data on the examined images. Recently, Convolutional Neural Network (CNN) is presented to deal with the blind image steganalysis classification problem. Most of the CNN-based image steganalysis approaches can't cope with low payloads. Improved Gaussian Convolutional Neural Network (IGNCNN) is presented with a transfer learning method in order to deal with stego-images with low payloads. IGNCNN contains a pre-processing layer which is consisted of a fixed coefficients (data-set independent) high pass filter (HPF). IGNCNN also is a fixed learning rate based-CNN. In this paper, a dynamic learning rate-based CNN approach is proposed, in order to highly minimize the detection error cost. Nevertheless, the proposed approach uses a dataset dependent-based Gaussian HPF instead, as a preprocessing layer, in order to well-choose a cutoff frequency depending on the training dataset. Experiments are performed on graphical processing units (GPUs) with the standard BOSSbase 1.01 dataset exposed to the S-UNIWARD and WOW image steganographic algorithms. Results show that the proposed approach outperforms computing approaches, GNCNN, improved GNCNN, SRM and SRM+EC, by an average increase of 7.4%, 5.3%, 4.1% and 2.8% respectively in terms of accuracy metric.

关键词： Feature extraction Payloads Training Kernel Heuristic algorithms Cutoff frequency Learning systems

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Software Oriented Approach in Providing and processing of Signals with Real Power Quality Problems 25

Software Oriented Approach in Providing and Processing of Si...

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25th International Conference on systems, Signals and image processing (IWSSIP)

作者： Simic, Milan Zivanovic, Dragan Kokolanski, Zivko Dincic, Milan Denic, Dragan Miljkovic, Goran Dimcev, vladimir Univ Nis Fac Elect Engn Aleksandra Medvedeva 14 Nish Serbia Ss Cyril & Methodius Univ Fac Elect Engn & Informat Technol Skopje Macedonia

ISBN: (纸本)9781538669792

Software oriented approach in generation and analysis of complex signal waveforms, suitable for testing the instruments for detection of typical power quality (PQ) problems, is presented in this paper. This approach is based on virtual instrumentation software for definition of signal parameters, data acquisition card NI PCI 6343 for signal generation and power amplifier for amplification of output voltage level to the nominal RMS value of 230 v. Definition of basic signal parameters is enabled using LabvIEW software support, which allows simple repetition of test signals and various combinations of more test sequences in final complex test signals. The basic advantage of this approach compared to similar solution for signal generation is possibility for providing test signal sequences according to the predefined algorithms, including variations of real PQ disturbances and problems in accordance with the European standard EN 50 1 60. Experimental confirmation of presented approach is performed using reference instrument - PQ analyzer Fluke 435 Series II.

关键词： Signal generation and processing Standard power quality problems virtual instrumentation software

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WEB-technology for Medical images Segmentation 3

WEB-technology for Medical Images Segmentation

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3rd Russian-Pacific Conference on Computer Technology and Applications (RPC)

作者： Doronicheva, Anna v. Savin, Sergey Z. Russian Acad Sci Far Eastern Branch Ctr Comp Fed State Budgetary Inst Sci Khabarovsk Russia

ISBN: (纸本)9781538675311

In work is described practical using of WEB-technology for segmentation and analysis tasks of medical image. Progress in the development of bioinformatics and mathematical methods in biomedicine, as well as the development of computer and telecommunications systems and networks determines the look of the present and future of medical technology and of medicine in general [8, 10]. At last years of one of the directions of development of cloud, computing technologies in high-tech-medicine is a processing the digital image: improvement of quality of image, recovering image, its recognition of separate elements. Recognition of pathological processes is one of the most important problems of processing the medical image. By now, a number of standards for medical imaging have been developed. By analogy with CAD/CAM systems (computer aided design and computer aided manufacturing) for technical applications, CAD (computer-aided diagnosis) systems are being developed for medical purposes. Some of them are already successfully operating, but to date these systems are only "assistants" of a diagnostician who takes decisions. CAD algorithms for medical imaging systems typically include image segmentation, the selection of some objects of interest ("masses"), their analysis, parametric description of the selected objects and their classification.

关键词： expert system computer-aided diagnosis (CAD) pattern recognition medical image scintigraphy

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ESTIMATION OF THE GEOMETRICAL MEASUREMENT ERROR AT THE STAGE OF STEREOSCOPIC SYSTEM DESIGN

COMPUTER OPTICS

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COMPUTER OPTICS 2018年第6期42卷 985-997页

作者： Gorevoy, A. v. Kolyuchkin, v. Ya. Machikhin, A. S. Russian Acad Sci Sci & Technol Ctr Unique Instrumentat Moscow Russia Bauman Moscow State Tech Univ Laser & Opt Elect Syst Subdept Moscow Russia Moscow Power Engn Univ Moscow Russia

The article is dedicated to the error estimation method for stereoscopic systems measuring three-dimensional coordinates and geometric parameters of objects. This method is required for stereoscopic system design to optimize the parameters of the image acquisition system and the data processing algorithms. The technique should be suitable for different mathematical models of image acquisition systems and allow to access the measurement uncertainty with a known uncertainty in determining the coordinates of the corresponding points on the images and the uncertainty of the calibration parameters. We analyzed known methods by comparing their results with the Monte Carlo simulation for the pinhole and the ray tracing models. It is shown that the method using the unscented transformation provides better accuracy and versatility than the linearization method. Using the example of measuring the length of a segment, it is demonstrated that the use of a symmetric confidence interval constructed from the mean and variance can lead to an inaccurate estimation of the error in measuring geometric parameters. We propose a method for calculating confidence intervals based on a combination of unscented transformation and interval analysis and confirm its effectiveness by the computer simulation. The analysis is applicable to the design of both passive stereoscopic devices and active triangulation systems as well as improving their software.

关键词： stereoscopic optical system geometric parameter measurement calibration error estimation

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