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

共 12675 条记录，以下是4791-4800 订阅

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An Iterative Approach for image Coding using Mojette Transform

An Iterative Approach for Image Coding using Mojette Transfo...

引用

International conference Radioelektronika

作者： Jakub Oravec L'ubo? Ovseník Ján Turán Department of Electronics and Multimedia Communications Faculty of Electrical Engineering and Informatics Technical University Kosice Kosice Slovakia

ISBN: (纸本)9781509016754

The Mojette transform has found several applications to this date. Some of them, such as systems for distributed file storage, or digital tomography systems exploit one of the main properties of Mojette transform - redundancy. However, sometimes this feature is not desirable. This is a case of applying Mojette transform for image encoding, or decoding. In these applications, higher rate of redundancy can cause longer processing times and bigger size of image data. These problems can be solved by group of procedures, which would work in a determined manner. In this article, we tried to propose a set of algorithms, which would reduce the drawbacks of Mojette transform, but exploit its advantages in the field of image coding.

关键词： image coding image reconstruction Mojette transform redundancy

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Flood water depth estimation — A survey

Flood water depth estimation — A survey

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IEEE International conference on Computational Intelligence and Computing Research

作者： Bhavana B. Nair Sethuraman Rao Amrita Vishwa Vidyapeetham Coimbatore Tamil Nadu IN

ISBN: (纸本)9781509006137

Global warming induced drastic climate changes have increased the frequency of natural disasters such as flooding, worldwide. Flooding is a constant threat to humanity and reliable systems for flood monitoring and analysis need to be developed. Flood hazard assessment needs to take into account physical characteristics such as flood depth, flow velocity and the duration of flooding. This paper provides the researchers with a detailed compilation of the methods that can be used for the estimation of flood water depth. A comparative study has been done between the water depth estimation techniques based on image processing and those which does not involve image processing. The comparison is based on various attributes such as implementation methods, advantages, accuracy and cost. image processing methods are classified based on various algorithms such as character recognition, feature extraction, region of interest (ROI), FIR filter etc. Similarly, non-image processing methods are classified based on hardware used such as sensors, level indicators, etc., and other signal based techniques. This study can be used to identify the best method for flood water depth estimation.

关键词： image processing Flood water depth Edge detection Level indicators Sensors

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An application program of fingerprint detection using wavelet transform for authentication

An application program of fingerprint detection using wavele...

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Management and Innovation Technology International conference (MITicon)

作者： Aunchisa Kwaochai Surapong Pongyupinpanich Pratya Areekul Wimol San-Um Thai-Nichi Institute of Technology Bangkok TH Realtime Information Electronics and Embedded Systems (RIEES) Master Program of Forensic Informatics Ramkhamhang University Huamark Bangkapi Bangkok Thailand 10240 Department of Mathematics and Computer Science Chulachomklao Royal Military Academy (CRMA) Amphor Mueng Tambol Promanee Province Nakornnayok Thailand

ISBN: (纸本)9781509041060

This paper presents the application program of fingerprint detection using wavelet transform for authentication. Fingerprints are obtained from the site of crime, old documents and excavated things. This paper proposes a fingerprint recognition technique based on wavelet-based texture pattern recognition method. By collecting incomplete fingerprints of 2 people with 6 images each. The original seven of uncompleted fingerprint images were undetected and only one was detected. After enhancing image quality using wavelet transform method, it was found that those of seven images were completed. The comparison method was a matching technique. This work focuses on the ability of the program and knowledge of image processing by studying algorithms of image processing. In design algorithm process, different technique enhancements were employed as well as the study of different of filters and algorithms based on existing research results from literature.

关键词： Fingerprint recognition image matching Discrete wavelet transforms Time-frequency analysis Continuous wavelet transforms

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Cloud removal for single images based on dual tree complex wavelet transform

Cloud removal for single images based on dual tree complex w...

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International conference on Signal processing and Communication systems, ICSPCS

作者： Xifang Zhu Feng Wu Ruxi Xiang Qingquan Xu Xiaoyan Jiang Hui Li Xu Zhang Zhengzhou Xu School of Electrical & Photo-electronic Engineering Changzhou Institute of Technology Changzhou China

ISBN: (纸本)9781509009428

Clouds can obscure ground information during remote sensing imaging. Cloud removal technology for a single image becomes significant when no images containing cloud-free regions are available. After the fundamental principle of dual tree complex wavelet transform (DTCWT) was reviewed, and the frequency relationships between clouds and ground objects in remote sensing images were analyzed, a novel algorithm to remove clouds from a single remote sensing image was proposed. The algorithm divided the cloud-contaminated image into low level high frequency sub-bands, high level high frequency sub-bands and low frequency sub-band by DTCWT. The low level high frequency sub-bands were filtered to enhance the ground object information by Laplacian filtering. The other two types of sub-bands were processed to remove cloud by applying the method of cloud layer coefficient weighting (CLCW). image processing experiments were implemented. Their results were analyzed. It proved the Laplacian contributes to enhancing ground object information adaptively. CLCW has the ability to remove clouds while preserving the ground object information outside the cloud cover. The proposed algorithm is greatly superior to algorithms based on traditional wavelet transform and the wavelet threshold theory.

关键词： Wavelet transforms Filter banks Laplace equations image reconstruction Remote sensing

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Visual interactive learning system using image processing about multiple programming languages

Visual interactive learning system using image processing ab...

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IEEE Global conference on Consumer Electronics (GCCE)

作者： Pedro Xavier Contla Hiroshi Kamada Daisuke Takago Department of Media Informatics Kanazawa Institute of Technology Ishikawa Japan Department of Information and Computer Science Kanazawa Institute of Technology Ishikawa Japan

ISBN: (纸本)9781509023349

In the early years of college, students have the need to learn how to program in any programming language. It is important to see the differences between programming languages and their rules. We are proposing an interactive and self-study system for students to acquire the knowledge they need, from data structures to algorithms using multiple programming languages. The system gives the students some exercises that outputs an image. The student's image will be compared with the correct image that is in the system and the system judges the student's image will is correct or not. The students will program the exercises in the selected programming languages. Eventually the system will help students learn multiple programming languages, especially, how to solve problems regardless of programming language.

关键词： conferences Consumer electronics Computer languages image processing Decision support systems Visualization

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MULTI-image SUPER-RESOLUTION USING A DUAL WEIGHTING SCHEME BASED ON VORONOI TESSELLATION

MULTI-IMAGE SUPER-RESOLUTION USING A DUAL WEIGHTING SCHEME B...

引用

IEEE International conference on image processing

作者： Michel Batz Andrea Eichenseer Andre Kaup Multimedia Communications and Signal Processing Friedrich-Alexander University Erlangen-Niirnberg (FAU)

ISBN: (纸本)9781467399623

Increasing spatial resolution is often required in many applications such as entertainment systems or video surveillance. Apart from using higher resolution sensors, it is also possible to apply super-resolution algorithms to realize an increased resolution. Those methods can be divided into approaches that rely on only a single low resolution image or on multiple low resolution video frames. While incorporating more frames into the super-resolution is beneficial for the resolution enhancement in principle, it is also likely to introduce more artifacts from inaccurate motion estimation. To alleviate this problem, various weightings have been proposed in the literature. In this paper, we propose an extended dual weighting scheme for an interpolation-based super-resolution method based on Voronoi tessellation that relies on both a motion confidence weight and a distance weight. Compared to non-weighted super-resolution, the proposed method yields an average gain in luminance PSNR of up to 1.29 dB and 0.61 dB for upscaling factors of 2 and 4, respectively. Visual comparisons substantiate the objective results.

关键词： Resolution Enhancement image processing Multi-image Super-Resolution Voronoi Tessellation

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image reconstruction from discrete orthogonal Racah moments

Image reconstruction from discrete orthogonal Racah moments

引用

Canadian conference on Electrical and Computer Engineering (CCECE)

作者： Yexiao Wu Simon Liao Applied Computer Science The University of Winnipeg Winnipeg Manitoba

ISBN: (纸本)9781467387224

In this research, a matrix notation method to extract discrete orthogonal Racah moments is proposed to reduce the computation time. To verify this new computational method, the image reconstructions from higher orders of Racah moments are performed. Our experimental results show that the Racah moments computing time has been reduced tremendously, while the testing image can be reconstructed completely by Racah moments of orders up to 510 without any error.

关键词： image reconstruction Testing Algorithm design and analysis Signal processing algorithms Pattern recognition Real-time systems

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Automatic Detection of Laser Marks in Retinal Digital Fundus images

Automatic Detection of Laser Marks in Retinal Digital Fundus...

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European Signal processing conference

作者： Joao G. R. Almeida e Sousa Carlos Manta Oliveira Luis A. da Silva Cruz Department of Physics University of Coimbra Retmarker S.A. Instituto de Telecomunicacoes Department of Electrical and Computer Engineering University of Coimbra

ISBN: (纸本)9781509018918

Diabetic retinopathy (DR) is the most frequent complication of diabetes mellitus that affects vision to the point of causing blindness. In advanced stages its progress can be delayed with laser photocoagulation which leaves behind marks on the retina. Modern screening programs rely on automatic diagnostic algorithms to detect signs of DR in patients. These systems performance may be impaired when patient retina presents marks from previous laser photocoagulation treatments. Since these patients are already being treated, it is desirable to detect and remove them from the screening program. An algorithm that automatically detects the presence of laser marks in retinal images using tree-based classifiers is proposed and the results on its performance are obtained and described. Two new public accessible datasets containing retinal images with laser marks are provided in this paper.

关键词： Diabetes Biomedical image processing Feature extraction Classification algorithms Medical image processing Sorting algorithm Feature extraction Diabetes Mellitus automatic detection Laser Coagulation System performance Retinaldehyde DR Complications of Diabetes Mellitus Retinal image images

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A Tone Mapping algorithm suited for analog-signal real-time image processing

A Tone Mapping algorithm suited for analog-signal real-time ...

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Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： Lan Shi David Hadlich Christopher Soell Thomas Ussmueller Robert Weigel Institute for Electronics Engineering University of Erlangen-Nuremberg Erlangen Germany Institute for Mechatronics University of Innsbruck Innsbruck Austria

ISBN: (纸本)9781509004942

This work presents a Tone Mapping Operator (TMO) which adjusts the High Dynamic Range (HDR) of image sensor data to the limited dynamic range of conventional displays with analog signal processing. It is based on Photographic Tone Reproduction (PTR) and suitable for analog circuit design in a CMOS image sensor in order to reduce the hardware cost and operation time for real-time image processing. For this reason, the characteristic advantage and calculation limitation of analog technology are considered in the TMO algorithm proposal. Furthermore, the appropriate modelling is built and simulated in Verilog-A. The function of the algorithm is feasible for analog processing. The frequency of the analog TMO is upper 52MHz while it consumes 55mW. The simulation results of test images are compared with the digital global TMO and the proposed analog TMO provides a reasonable similar dynamic range compression.

关键词： Signal processing algorithms image sensors Algorithm design and analysis Dynamic range Analog circuits image processing Real-time systems

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Embedded system design for automatic screening of snore during nocturnal audio recording

Embedded system design for automatic screening of snore duri...

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International conference on Audio, Language and image processing, ICALIP

作者： Limin Hou Qiang Pan Chen Wang School of Communication and Information Engineering Shanghai University Shanghai

ISBN: (纸本)9781509006557

Automatic snore detection system based on ARM processor has been designed in our work that only uses single microphone recording snore sound. It can assist a noninvasive and portable diagnosis for sleep apnea-hypopnea syndrome (SAHS) based on digital signal processing. The 32-bit microcontroller STM32F407 is selected as main hardware of embedded system. To make full use of the ARM resources, SAHS snore diagnosis task is decomposed into several steps with different priority. Real-time screening of snore is implemented based on recording of nocturnal snore sound. Meanwhile the SAHS snore and simple snore are discriminated by the Earth mover's distance (EMD) algorithm which is online completed. Therefore, apnea-hypopnea index (AHI: the average number of apneic events per hour of sleep) is calculated and screening result is obtained.

关键词： Sleep apnea Acoustics Microphones Hardware Signal processing algorithms Embedded systems Monitoring

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