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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

共 13028 条记录，以下是4841-4850 订阅

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A Novel Enhancement Algorithm for Night image by Adjusting the Background

A Novel Enhancement Algorithm for Night Image by Adjusting t...

引用

International conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Hangzhou Zhang Yi Wan School of Information Science & Engineering Lanzhou University China

ISBN: (纸本)9781509007691

In this paper, a novel approach for night image enhancement is proposed. The algorithm improves the visuality of the night image by adjusting the background data of the value component (V) in HSV space. We firstly obtain background image from V, then increase the dynamic range of the background image by optimized transfer function. Finally, we can restore the enhancement V from enhanced background image. The experimental results demonstrate that the proposed approach can improve the perceptual quality, and have a good effect for night image by comparing with other algorithms.

关键词： Signal processing algorithms Lighting Distortion Transfer functions Brightness Histograms

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20th East-European conference on Advances in Databases and Information systems, ADBIS 2016 and Workshop on 3rd International Workshop on Big Data Applications and Principles, BigDap 2016, 2nd Workshop on Data-Centered Smart Applications, DCSA 2016, Workshop on Doctoral Consortium, DC 2016

20th East-European Conference on Advances in Databases and I...

引用

20th East-European conference on Advances in Databases and Information systems, ADBIS 2016 and Workshop on 3rd International Workshop on Big Data Applications and Principles, BigDap 2016, 2nd Workshop on Data-Centered Smart Applications, DCSA 2016, Workshop on Doctoral Consortium, DC 2016

ISBN: (纸本)9783319440651

The proceedings contain 24 *** special focus in this conference is on Short Papers, Big Data Applications and Principles, Data centered Smart Applications and ADBIS Doctoral *** topics include: Towards automated performance optimization of BPMN business processes;pixel-based analysis of information dashboard attributes;towards adaptive distributed top-k query processing;basis functions as pivots in space of users preferences;towards semi-structured JSON big data;skyline algorithms on streams of multidimensional data;canonical data model for data warehouse;a quality-based query rewriting algorithm for data integration, towards spatial crowdsourcing in vehicular networks using mobile agents;shift of image processing technologies to column-oriented databases;influence of parallelism property of streaming engines on their performance;reducing big data by means of context-aware tailoring;feature ranking and selection for big data sets;a bagged associative classifier for big data frameworks;a new parallel approximate subspace clustering algorithm;smart modeling for lightweight mobile application development methods;an implementation method of an information credibility calculation system for emergency such as natural disasters;model capsules for research and engineering networks;usage of aspect-oriented programming in adaptive application structure;short-term user behaviour changes modelling and framework for managing distinct versions of data in relational databases.

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Concept for an Airborne Real-Time ISR System with Multi-Sensor 3D Data Acquisition 13

Concept for an Airborne Real-Time ISR System with Multi-Sens...

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conference on Electro-Optical and Infrared systems - Technology and Applications XIII

作者： Harake, Laura Schilling, Hendrik Blohm, Christian Hillemann, Markus Lenz, Andreas Becker, Merlin Keskin, Goeksu Middelmann, Wolfgang Fraunhofer Inst Optron Syst Technol & Image Explo Gutleuthausstr 1 D-76275 Ettlingen Germany OHB Syst AG Univ Allee 27-29 D-28359 Bremen Germany

ISBN: (数字)9781510603790

ISBN: (纸本)9781510603783;9781510603790

In modern aerial Intelligence, Surveillance and Reconnaissance operations, precise 3D information becomes inevitable for increased situation awareness. In particular, object geometries represented by texturized digital surface models constitute an alternative to a pure evaluation of radiometric measurements. Besides the 3D data's level of detail aspect, its availability is time-relevant in order to make quick decisions. Expanding the concept of our preceding remote sensing platform developed together with OHB System AG and Geosystems GmbH, in this paper we present an airborne multi-sensor system based on a motor glider equipped with two wing pods;one carries the sensors, whereas the second pod downlinks sensor data to a connected ground control station by using the Aerial Reconnaissance Data System of OHB. An uplink is created to receive remote commands from the manned mobile ground control station, which on its part processes and evaluates incoming sensor data. The system allows the integration of efficient image processing and machine learning algorithms. In this work, we introduce a near real-time approach for the acquisition of a texturized 3D data model with the help of an airborne laser scanner and four high-resolution multi-spectral (RGB, near-infrared) cameras. image sequences from nadir and off-nadir cameras permit to generate dense point clouds and to texturize also facades of buildings. The ground control station distributes processed 3D data over a linked geoinformation system with web capabilities to off-site decision-makers. As the accurate acquisition of sensor data requires boresight calibrated sensors, we additionally examine the first steps of a camera calibration workflow.

关键词： Remote Sensing ISR Multi-Sensor System Real-Time 3D Airborne Laser Scanning Reconnaissance System Georeferencing

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IMU based adaptive blur removal approach using image processing for railway inspection

IMU based adaptive blur removal approach using image process...

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International conference on systems, Signals and image processing, IWSSIP

作者： Yunus Santur Mehmet Karaköse İlhan Aydın Erhan Akın Computer Engineering Department of Firat University Elaziğ Turkey

Rail transportation systems, which are commonly used in today's world, should be inspected at certain intervals for possible accidents. During the rail inspection, the physical vibration on rail lines causes a blurring effect on the images. Doing deblurring automatically requires information of blurring rates and specifying the parameters accordingly for deblurring. With this purpose, a test equipment which can move on rail lines and a camera system for the detection of blurring and deblurring is integrated with Inertial Measurement Unit (IMU) is promoted in this study. Then, with Attitude and Heading Reference System (AHRS) algorithm, the effect of blurring at the moment of the vibration is examined, point spread function (PSF) value is chosen dynamically and deblurring is achieved. In order to increase the accuracy rates of detection algorithms, a pre-treatment method is proposed for detecting the blur effect and removing it.

关键词： Decision support systems Graphics conferences Measurement units Three-dimensional displays Sensitivity Machine intelligence

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Exposure fusion algorithm for scenes with an extremely high dynamic range

Exposure fusion algorithm for scenes with an extremely high ...

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International conference on systems, Signals and image processing, IWSSIP

作者： Junwon Mun Yunseok Jang Jaeseok Kim School of Electrical and Electronic Engineering Yonsei University Seoul Republic of Korea

ISBN: (纸本)9781467395564

Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.

关键词： Dynamic range image color analysis Heuristic algorithms image coding Imaging Colored noise Computational modeling

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Surface reconstruction with Wavelet transformation

Surface reconstruction with Wavelet transformation

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IEEE International conference on Intelligent Engineering systems (INES)

作者： Petra Balla Peter Kocsis György Eigner Ákos Antal Department of Mechatronics Optics and Mechanical Engineering Informatics BUTE Budapest Hungary Research and Innovation Center of Obuda University Obuda University Budapest Hungary

The development in computing power highlights some forgotten algorithms, which were neglected because of their complexity and slowness on early computers. One example is the Wavelet-Transformation Profilometry (WTP) of which successful application is demonstrated in the paper. WTP is a high level signal processing method using orthogonal algorithms for huge datasets. The high performance in quality and running speed makes the described method suitable for medical image processing applications.

关键词： Wavelet transforms Surface waves Surface treatment Surface reconstruction image reconstruction Computers

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2nd International conference on Computer and Communication Technologies, IC3T 2015

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2nd International conference on Computer and Communication Technologies, IC3T 2015

ISBN: (纸本)9788132225225

The proceedings contain 80 papers. The special focus in this conference is on Computer and Communication Technologies. The topics include: Human gait recognition using gait flow image and extension neural network;improved topology preserving maps for wireless sensor networks through d-VCS;real-time processing and analysis for activity classification to enhance wearable wireless ECG;adaptive video quality throttling based on network bandwidth for virtual classroom systems;an enhanced security pattern for wireless sensor network;computational intelligence-based parametrization on force-field modeling for silicon cluster using ASBO;natural language-based self-learning feedback analysis system;adaptive filter design for extraction of fetus ECG signal;linear and non-linear buckling testing on aluminium structures;a performance analysis of openstack open-source solution for IAAS cloud computing;the application of sub-pattern approach in 2d shape recognition and retrieval;moderator intuitionistic fuzzy sets and application in medical diagnosis;an empirical comparative study of novel clustering algorithms for class imbalance learning;analysis of student feedback by ranking the polarities;seizure onset detection by analyzing long-duration eeg signals;prototype of a coconut harvesting robot with visual feedback;wireless personal area network and PSO-based home security system;a framework for ranking reviews using ranked voting method;dynamic multiuser scheduling with interference mitigation in sc-FDMA-based communication systems;adaptive MAC for bursty traffic in wireless sensor networks and a minimal subset of features using correlation feature selection model for intrusion detection system.

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image sharpness assessment based on local phase coherence and LAD criterion

Image sharpness assessment based on local phase coherence an...

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International conference on systems, Signals and image processing, IWSSIP

作者： Ana Sović Kržić Matea Đonlić Mihaela Pejčinović Damir Seršić University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Poslovna inteligencija Zagreb Croatia

Edge preservation and precise restoration of details and sharp parts of images is an important issue in modern multimedia systems, 3D imaging, medical imaging and laser microscopy. Objective evaluation of image restoration algorithms in the sense of sharpness is crucial for choice of method to be used. Moreover, automated focus stacking, selective deblurring and other smart restoration methods rely on the proper sharpness measure. In this paper, a novel approach for image sharpness assessment is proposed. The approach is based on local phase coherence (LPC) in the complex wavelet domain. Using maximum pooling of eight LPC maps in eight spatial directions around each pixel, an image sharpness map is generated. Least absolute deviation criterion applied on sorted non-zero elements of the sharpness map results in the proposed global image sharpness measure. The proposed measure is better suited for applications, in comparison with competitive measures.

关键词： image edge detection Coherence Phase measurement Wavelet domain image restoration Observers

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Concatenated image completion via tensor augmentation and completion

Concatenated image completion via tensor augmentation and co...

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International conference on Signal processing and Communication systems, ICSPCS

作者： Johann A. Bengua Hoang D. Tuan Ho N. Phien Minh N. Do Faculty of Engineering and Information Technology University of Technology Sydney Ultimo Australia Department of Electrical and Computer Engineering and the Coordinated Science Laboratory University of Illinois at Urbana-Champaign Illinois USA

ISBN: (纸本)9781509009428

This paper proposes a novel framework called concatenated image completion via tensor augmentation and completion (ICTAC), which recovers missing entries of color images with high accuracy. Typical images are second-or third-order tensors (2D/3D) depending if they are grayscale or color, hence tensor completion algorithms are ideal for their recovery. The proposed framework performs image completion by concatenating copies of a single image that has missing entries into a third-order tensor, applying a dimensionality augmentation technique to the tensor, utilizing a tensor completion algorithm for recovering its missing entries, and finally extracting the recovered image from the tensor. The solution relies on two key components that have been recently proposed to take advantage of the tensor train (TT) rank: A tensor augmentation tool called ket augmentation (KA) that represents a low-order tensor by a higher-order tensor, and the algorithm tensor completion by parallel matrix factorization via tensor train (TMac-TT), which has been demonstrated to outperform state-of-the-art tensor completion algorithms. Simulation results for color image recovery show the clear advantage of our framework against current state-of-the-art tensor completion algorithms.

关键词： Tensile stress Color image color analysis Indexes Arrays Correlation Magnetic resonance imaging

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Parallel image dehazing algorithm based on GPU using fuzzy system and hybird evolution algorithm

Parallel image dehazing algorithm based on GPU using fuzzy s...

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ACIS International conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Che-Lun Hung Ren-You Yan Hsiao-Hsi Wang Department of Computer Science and Communication Engineering Providence University Taichung Taiwan Department of Computer Science and Information Management Providence University Taichung Taiwan

Haze is an atmospheric phenomenon that fogs the visibility of the scenes. Removing the haze has been an important issue in image processing technologies. Many image dehazing technologies with evolution algorithms have been proposed to remove the fog in the image. However, these algorithms usually are compute-intensive. In this paper, we propose a parallel hybrid evolution algorithm based on GPU to enhance the computational performance. In traditional evolution algorithms, the calculation of fitness function occupies the most of the computation time. In the proposed method, we implement this part on GPU by using CUDA framework to reduce the computational load. The experiment results show that the proposed method can remove the haze efficiently and successfully.

关键词： Graphics processing units Fuzzy systems Evolutionary computation Signal processing algorithms Algorithm design and analysis Genetic algorithms Entropy

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