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Conference on image processing - algorithms and systems XII

作者： Sherstobitov, A. I. Marchuk, v. I. Timofeev, D. v. voronin, v. v. Egiazarian, K. O. Don State Tech Univ Dept Radioelect Syst Shakhty Russia Tampere Univ Technol Dept Signal Proc Tampere Finland

ISBN: (纸本)9780819499363

A texture descriptor based on a set of indices of degrees of local approximating polynomials is proposed in this paper. First, a method to construct 2D local polynomial approximation kernels (k-LPAp) for arbitrary polynomials of degree p is presented. An image is split into non-overlapping patches, reshaped into one-dimensional source vectors and convolved with the polynomial approximation kernels of various degrees. As a result, a set of approximations is obtained. For each element of the source vector, these approximations are ranked according to the difference between the original and approximated values. A set of indices of polynomial degrees form a local feature. This procedure is repeated for each pixel. Finally, a proposed texture descriptor is obtained from the frequency histogram of all obtained local features. A nearest neighbor classifier utilizing Chi-square distance metric is used to evaluate a performance of the introduced descriptor. An accuracy of texture classification is evaluated on the following datasets: Brodatz, KTH-TIPS, KTH-TIPS2b and Columbia-Utrecht (CUReT) with respect to different methods of texture analysis and classification. The results of this comparison show that the proposed method is competitive with the recent statistical approaches such as local binary patterns (LBP), local ternary patterns, completed LBP, Weber's local descriptor, and vZ algorithms (vZ-MR8 and vZ-Joint). At the same time, on KTH-TIPS2-b and KTH-TIPS datasets, the proposed method is slightly inferior to some of the state-of-the-art methods.

关键词： kernel of approximation local polynomial approximation pattern recognition texture classification

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processing SENTINEL-2 image TIME SERIES FOR DEvELOPING A REAL-TIME CROPLAND MASK

PROCESSING SENTINEL-2 IMAGE TIME SERIES FOR DEVELOPING A REA...

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IEEE International Geoscience and Remote Sensing Symposium

作者： S. valero D. Morin J. Inglada G. Sepulcre M. Arias O. Hagolle G. Dedieu S. Bontemps P. Defourny CESBIO - CNES CNRS (UMR 5126) IRD Universite de Toulouse Universite catholique de Louvain Earth and Life Institute

ISBN: (纸本)9781479979301

The exploitation of new high revisit frequency earth observations by the future Sentinel-2 satellite is clearly an important opportunity for global agricultural monitoring. In this context, the Sentinel-2Agriculture project aims at producing algorithms working on large geographical areas having different climates and different agricultural systems. In the framework of this project, the construction of a near-real-time deliverable cropland mask product has been studied here. A set of 12 selected test sites are used to benchmark the proposed method with regard to the diversity of agro-ecological context, the various landscape patterns, the different agriculture practices and the actual satellite observation conditions. The classification results yield very promising accuracies achieving around 90% at the end of the agricultural season.

关键词： Global cropland mapping Sentinel-2 Near-real-time classification Random Forests

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Generalized non-local means filtering for image denoising

Generalized non-local means filtering for image denoising

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Conference on image processing - algorithms and systems XII

作者： Dolui, Sudipto Patarroyo, Ivan C. Salgado Michailovich, Oleg v. Univ Penn Philadelphia PA 19104 USA Univ Waterloo Waterloo ON Canada

ISBN: (纸本)9780819499363

Non-local means (NLM) filtering has been shown to outperform alternative denoising methodologies under the model of additive white Gaussian noise contamination. Recently, several theoretical frameworks have been developed to extend this class of algorithms to more general types of noise statistics. However, many of these frameworks are specifically designed for a single noise contamination model, and are far from optimal across varying noise statistics. The NLM filtering techniques rely on the definition of a similarity measure, which quantifies the similarity of two neighbourhoods along with their respective centroids. The key to the unification of the NLM filter for different noise statistics lies in the definition of a universal similarity measure which is guaranteed to provide favourable performance irrespective of the statistics of the noise. Accordingly, the main contribution of this work is to provide a rigorous statistical framework to derive such a universal similarity measure, while highlighting some of its theoretical and practical favourable characteristics. Additionally, the closed form expressions of the proposed similarity measure are provided for a number of important noise scenarios and the practical utility of the proposed similarity measure is demonstrated through numerical experiments.

关键词： Non local means similarity measure neighbourhood filtering patch similarity

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image FILTERING algorithms IN INFOCOMMUNICATION systems 24

IMAGE FILTERING ALGORITHMS IN INFOCOMMUNICATION SYSTEMS

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24th International Crimean Conference Microwave & Telecommunication Technology (CriMiCo)

作者： Zhiganov, S. N. Gashin, I., v Vladimir State Univ Murom Inst Branch 23 Orlovskaya Str Murom 602264 Russia

A comparative analysis of efficiency of frequency image filtering algorithms of Wiener and Tikhonov, under conditions of distorting noise with Rayleigh and exponential probability density functions. Quality filtering ... 详细信息

ISBN: (纸本)9789663354125

关键词： Wiener filters image processing probability Rayleigh density functions Tikhonov filtering algorithms Wiener filtering algorithms exponential probability density functions frequency image filtering algorithms infocommunication systems noise distortion quality filtering characteristics signal-noise ratio

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Sonar image processing algorithms for Object Recognition using Hovering-type AUv "Cyclops"

Sonar Image Processing Algorithms for Object Recognition usi...

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International Conference on Control, Automation and systems

作者： Jeonghwe Gu Juhyun Pyo Son-Cheol Yu Department of Creative IT Engineering Pohang University of Science and Technology

ISBN: (纸本)9781479999767

In this paper, we describe the developed hovering-type AUv called "Cyclops" and discuss characteristics of imaging sonar DIDSON as an tool for AUv application. The Cyclops was designed to perform an advanced mission like object recognition, and its symmetric design enable to maximize the mobility of the vehicle. This hardware structure makes the maintenance of the vehicle fast and convenient. We introduce sonar image process algorithms from simple to advanced ones for AUv application. The algorithm includes segmentation for the extraction of reverberation shapes in sonar images, speckle reduction after segmentation, edge detection, and shape matching analysis.

关键词： Underwater vehicle Imaging sonar Segmentation Shape matching

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Fast mode selection algorithm based on texture analysis for 3D-HEvC intra prediction

Fast mode selection algorithm based on texture analysis for ...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Thaísa L. da Silva Luciano v. Agostini Luis A. da Silva Cruz Department of Electrical and Computer Engineering University of Coimbra Portugal Instituto de Telecomunicações Coimbra Portugal

The increasing availability of 3D video systems and applications has attracted more consumers for 3D viewing experiences and, consequently, the demand for storage and transmission of 3D video content is growing. An interesting alternative for this need is the transmission of 3D video based on the Multiview video plus Depth (MvD) format. The upcoming 3D High Efficiency video Coding (3D-HEvC) standard will adopt this format, which associates a depth map to each texture frame. This paper presents a fast mode decision algorithm, which analyses the texture frames and depth maps to detect the edge orientation of the prediction units (PUs), optimizing the intra prediction process and reducing the 3D-HEvC computational complexity. The experimental results show that the proposed algorithm achieves an average processing time reduction of 26.2%, with a small degradation in encoding efficiency (BD-rate increase of 0.3% on average).

关键词： Encoding Three-dimensional displays image edge detection Algorithm design and analysis Prediction algorithms Computational complexity

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Distributed computing in IoT: System-on-a-chip for smart cameras as an example

Distributed computing in IoT: System-on-a-chip for smart cam...

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Asia and South Pacific Design Automation Conference

作者： Shao-Yi Chien Wei-Kai Chan Yu-Hsiang Tseng Chia-Han Lee v. Srinivasa Somayazulu Yen-Kuang Chen Department of Electrical Engineering National Taiwan University Taipei Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Intel Corporation USA Intel-NTU Connected Context Computing Center Taipei Taiwan

ISBN: (纸本)9781479977932

There are four major components in application systems with internet-of-things (IoT): sensors, communications, computation and service, where large amount of data are acquired for ultra-big data analysis to discover the context information and knowledge behind signals. To support such large-scale data size and computation tasks, it is not feasible to employ centralized solutions on cloud servers. Thanks for the advances of silicon technology, the cost of computation become lower, and it is possible to distribute computation on every node in IoT. In this paper, we take video sensing network as an example to show the idea of distributed computing in IoT. Existing related works are reviewed and the architecture of a system-on-a-chip solution for distributed smart cameras is proposed with coarse-grained reconfigurable image stream processing architecture. It can accelerate various computer vision algorithms for distributed smart cameras in IoT.

关键词： Sensors Bandwidth Servers Cameras System-on-chip Computer architecture vehicles

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image Enhancement for Point Feature Detection in Built Environment 2

Image Enhancement for Point Feature Detection in Built Envir...

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2nd International Conference on systems and Informatics (ICSAI)

作者： Lehtola, ville v. Ronnholm, Petri Aalto Univ Dept Real Estate Planning & Geoinformat Espoo Finland

ISBN: (纸本)9781479954582

image pre-processing is required for texture poor, low-contrast images to enable the functionality of local feature detection algorithms. This is especially true in built environment. We propose a novel image enhancement procedure that conserves the core 'signal' in images, while enriching its environment by damping non-essential parts of the signal. Proposed image enhancement method is examined with SIFT, MSER and Harris corner detectors. As a result all detectors, which were originally not able to recover the essential features, improved their performance. Such features were detected also in areas that were not optimally illuminated.

关键词： image enhancement feature detection feature matching SIFT MSER Harris

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Cross-layer optimization for 3-D video transmission over cooperative relay systems

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SIGNAL processing-image COMMUNICATION 2014年第10期29卷 1102-1120页

作者： Salim, Omar H. Xiang, Wei Leis, John Cao, Lei Univ So Queensland Sch Mech & Elect Engn Toowoomba Qld 4350 Australia Univ Mosul Dept Comp Engn Mosul Iraq Univ Mississippi Dept Elect Engn University MS 38677 USA

The rate budget constraint and the available instantaneous signal-to-noise ratio of the best relay selection in cooperative systems can dramatically impact the system performance and complexity of video applications, since they determine the video distortion. By taking into account these constrained factors, we first outline the signal model and formulate the system optimization problem. Next, we propose a new approach to cross-layer optimization for 3-D video transmission over cooperative relay systems. We propose procedures for estimation of the end-to-end instantaneous signal-to-noise ratio using an estimate of the available instantaneous signal-to-noise ratios between the source destination, and source relay destination before starting to send the video signal to the best relay and destination. A novel approach using Lagrange multipliers is developed to solve the optimum bit allocation problem. Based on the rate budget constraint and the estimated the end-to-end instantaneous signal-to-noise ratio, the proposed joint source channel coding (JSCC) algorithm simultaneously assigns source code rates for the application layer, the number of high and low priority packets for the network layer, and channel code rates for the physical layer based on criteria that maximize the quality of video, whilst minimizing the complexity of the system. Finally, we investigate the impact of the estimated the end-to-end instantaneous signal-to-noise ratio on the video system performance and complexity. Experimental results show that the proposed JSCC algorithm outperforms existing algorithms in terms of peak signal-to-noise ratio. Moreover, the proposed JSCC algorithm is found to be computationally more efficient since it can minimize the overall video distortion in a few iterations. (C) 2014 Elsevier B.v. All rights reserved.

关键词： Cooperative relay systems 3-D video JSCC Lagrange multiplier

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Correction of radiometric distortions in images in the case of SAR processing using the rangedoppler algorithm

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Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika) 2014年第2期73卷 151-161页

作者： Gorovyi, Ye.M. Bezvesilniy, O.O. vavriv, D.M. Institute of Radio Astronomy National Academy of Sciences of Ukraine 4 Krasnoznamennaya St. Kharkiv 61002 Ukraine

Synthetic aperture radar (SAR) is an effective instrument for the formation of high-resolution images of the earth surface. Trajectory instability is one of the factors that affect the quality of the obtained images. The problem is that even in the case of application of a common motion compensation procedure, which is necessary for synthetic aperture formation, instabilities of the antenna beam orientation are still left uncompensated. This leads to radiometric (brightness) distortions in SAR images. This problem is especially critical in the case of SAR processing with frame-based algorithms based on FFT (for example, the range-Doppler algorithm), which assume the constant antenna beam orientation within the large data blocks. In this paper the method of radiometric correction of SAR images is considered in the case of processing of SAR data in the frequency domain. Its idea is based on the formation of extended number of looks which corresponds to the broadening of the processed Doppler bandwidth. It is shown that such broadening allows to compensate the influence of two effects: changes of the real antenna beam orientation angles in respect to the aircraft velocity vector and also the possible additional broadening of the Doppler bandwidth of the received signals due to the application of the common motion compensation procedure. The obtained extended number of looks is used for the restoration of the multi-look SAR image without radiometric errors. The introduced methods of radiometric correction are an efficient alternative to expensive antenna stabilization systems and actively used in operating SAR systems. The efficiency of the developed algorithms is illustrated by actual SAR data examples. © 2014 by Begell House, Inc.

关键词： Synthetic aperture radar

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