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Efficient fractal image coding using adaptive domain pool reduction technique

Efficient fractal image coding using adaptive domain pool re...

引用

IEEE Pacific Rim conference on communications, Computers and Signal processing

作者： El-Khamy, Said Khedr, Mohamed Al-Kabbany, Ahmad Univ Alexandria Fac Engn Alexandria Egypt Arab Acad Sci Technol Dept Elect & Commun Engn Alexandria Egypt

ISBN: (纸本)9781424411894

Fractal image coding was the scope of heavy research during the last decade. It has proved its efficiency as an image coding technique. However, its asymmetric nature has limited its use especially for real time applications. In this paper, a new fast fractal image coding technique will be presented. The proposed technique enhances the encoding time using spatial local activities of the image trying to overcome the major drawback of fractal image coding.

关键词： image coding

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MRIQA: Subjective Method and Objective Model for Magnetic Resonance image Quality Assessment

MRIQA: Subjective Method and Objective Model for Magnetic Re...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Chen, Qi Liu, Fang Duan, Huiyu Wang, Yao Min, Xiongkuo Zhou, Yan Zhai, Guangtao Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Radiol Shanghai Peoples R China

ISBN: (纸本)9781665475921

Magnetic Resonance Imaging (MRI) is widely used for medical diagnosis, staging and follow-up of disease. However, MRI images may have artifacts due to various reasons such as patient movement or machine distortion, which may be unintentionally introduced during the procedure of medical image acquisition, processing, etc. These artifacts may affect the effectiveness of diagnosis or even cause false diagnosis. To solve this problem, we propose a general medical image quality assessment (MIQA) methodology, including subjective MIQA procedures and objective MIQA algorithms. We further apply this methodology to MRI images in this paper due to its widespread use in practical applications. We first establish a magnetic resonance imaging quality assessment (MRIQA) database, which contains 3809 MRI images. Then a subjective image quality assessment experiment is conducted by expert doctors according to the diagnostic value of these images, which split all MRI images into 1285 low quality images and 2524 high quality images. We then conduct a baseline deep learning experiment, and propose an attention based MIQANet model to automatically separate MRI images into high quality and low quality based on their diagnosis value. Our proposed method achieves a great quality assessment accuracy of 96.59%. The constructed MRIQA database and proposed MIQA model will be public available to further promote medical IQA research.

关键词： Medical image Quality Assessment Database Deep Learning

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Automatically Inserting Ads into images 26

Automatically Inserting Ads into Images

引用

26th IEEE Signal processing and communications Applications conference (SIU)

作者： Citak, Erol Eseoglu, Mustafa Furkan Celik, Ibrahim Omer Disanli, Onur Kutluk, Sezer Arica, Nafiz Huawei Turkiye Ar Ge Merkezi Istanbul Turkey Bahcesehir Univ Bilgisayar Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781538615010

In this study a new method is proposed for inserting advertisement visuals into images automatically and without disturbing the image content. In this method important areas are determined using deep learning based object, face and text detection, edge and saliency maps are obtained, and these information are used for the identification of the best location for inserting the advertisement visual. In order to select the best available advertisement visual from an advertisement pool shape and color features are utilized.

关键词： image processing advertisement insertion deep learning

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Linear Regression-based Classifier For Audio visual Person Identification

Linear Regression-based Classifier For Audio Visual Person I...

引用

1st International conference on communications, Signal processing, and their Applications (ICCSPA)

作者： Alam, Mohammad Rafiqul Togneri, Roberto Sohel, Ferdous Bennamoun, Mohammed Naseem, Imran Univ Western Australia Sch Comp Sci & Software Engn Crawley WA 6009 Australia Univ Western Australia Sch Elect & Elect Engn Crawley WA 6009 Australia PAF Karachi Inst Econ & Technol Karachi 75190 Pakistan

ISBN: (纸本)9781467328210;9781467328203

This paper presents an audio visual (AV) person identification system using Linear Regression-based Classifier (LRC) for person identification. Class specific models are created by stacking q-dimensional speech and image vectors from the training data. The person identification task is considered a linear regression problem, i.e., a test (speech or image) feature vector is expressed as a linear combination of the (speech or image) model of the class it belongs to. The Euclidean distance between a test feature vector and the estimated response vectors for all the class specific models are used as matching scores. These matching scores from both modalities are normalized using the min-max score normalization technique and then combined using the the sum rule of fusion. The system was tested on 88 subjects from the AusTalk AV database. Experimental results show that the identification accuracy after AV fusion is higher compared to the identification accuracy of an individual modality.

关键词： audio databases audio-visual systems biometrics (access control) image classification minimax techniques personal information systems regression analysis speaker recognition visual databases

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A Dynamic Threshold System with DFT Compound Motion Analysis

A Dynamic Threshold System with DFT Compound Motion Analysis

引用

International conference on Signal processing and communications

作者： Al-Sudani, Asaad A. M. Al-Salih Univ Baghdad Dept Elect Engn Coll Engn Baghdad Iraq

ISBN: (纸本)9781424471379

This paper is concerned with investigating, experiencing, and validating a local adaptive threshold system with compound motion analysis. The motivation here is to analyze moving objects in outdoor/indoor video frames with respect to: movement detection, objects segmentation, features extraction besides DFT-based velocity computation. The underlying methodology exhibits a single correlation of the behavioral-mathematical model of the examined image sequences among identifying the image as time-varying functions applicable for processing through 2D Discrete Fourier Transform (DFT). The justification of this method has been revealed through output data, human visual inspection, histogramming;showing appreciable accuracy, lower level of noise, and shorter segmentation time in comparison with some available standard techniques. The horizon of applications of the presented method may involve security control, industry and traffic control, surveillance, and general civil and military fields.

关键词： 2D discrete Fourier transform behavioral-mathematical model compound motion analysis discrete Fourier transforms dynamic threshold system feature extraction features extraction histogram human visual inspection image motion analysis image segmentation image sequences image sequences indoor video frames industry control local adaptive threshold system movement detection object detection objects segmentation outdoor video frames security control surveillance traffic control velocity computation video signal processing

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Packet loss resilient transmission of 3D models

Packet loss resilient transmission of 3D models

引用

IEEE International conference on image processing (ICIP 2007)

作者： Bici, M. Oguz Norkin, Andrey Akar, Gozde Bozdagi Middle E Tech Univ TR-06531 Ankara Turkey Tampere Univ Technol Inst Signal Proc FIN-33101 Tampere Finland

ISBN: (纸本)9781424414369

This paper presents an efficient joint source-channel coding scheme based on forward error correction (FEC) for three dimensional (3D) models. The system employs a wavelet based zero-tree 3D mesh coder based on Progressive Geometry Compression (PGC). Reed-Solomon (RS) codes are applied to the embedded output bitstream to add resiliency to packet losses. Two-state Markovian channel model is employed to model packet losses. The proposed method applies approximately optimal and unequal FEC across packets. Therefore the scheme is scalable to varying network bandwidth and packet loss rates (PLR). In addition, Distortion-Rate (D-R) curve is modeled to decrease the computational complexity. Experimental results show that the proposed method achieves considerably better expected quality compared to previous packet-loss resilient schemes.

关键词： visual communications error correction computer vision multidimensional systems wavelet transform networks

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visual SALIENCY GUIDED EXPOSURE FUSION

VISUAL SALIENCY GUIDED EXPOSURE FUSION

引用

22nd IEEE Signal processing and communications Applications conference (SIU)

作者： Mammadova, Kubra Erdem, Erkut Erdem, Aykut Hacettepe Univ Bilgisayar Muhendisligi Bolumu Cankaya Turkey

ISBN: (纸本)9781479948741

Exposure Fusion is a popular multi-exposure image fusion method which blends a set of differently exposed low dynamic range images of a scene to obtain another low dynamic range but contrast rich image. This approach carries out the integration process by using three local quality measures, namely contrast, saturation and exposedness. Our aim in this study is to extend the exposure fusion method by incorporating a novel visual saliency based quality measure. This new measure captures the parts of the scene that grabs our attention and gives more prominence to these salient regions, which is otherwise impassible 19, the previous measures in use. Our experiments show that, as compared to the exposure fusion method, our saliency-guided approach gives more vivid results and leads to sharp boundaries in the output images.

关键词： image fusion

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Orthogonal Coded Multi-view Structured Light for Inter-view Interference Elimination

Orthogonal Coded Multi-view Structured Light for Inter-view ...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Sun, Zaichao Qian, Guochao Peng, Zhaoyu Dai, Weiju Sun, Dongjun Zhang, Gongyuan Zhang, Nongtao Xu, Jun Wang, Ren Li, Chunlin Yunnan Elect Power Grid Co Ltd Elect Power Res Inst Kunming Yunnan Peoples R China

ISBN: (纸本)9781728180687

Rapid 3D reconstruction of dynamic scenes is very useful in 3D object structure analysis, accident avoidance for UAV, and other visual applications. Against dynamic scenes, coded structured light methods have been proposed to obtain the depth information of an object in 3D world, and most of them are based on spatial codification. A brutal truth is that two or more cameras and projectors from different viewpoints are needed to measure the dynamic scene simultaneously for rapid 3D reconstruction. However, when two traditional patterns, especially the binaries, are mutually overlapped, interference between them arises to a new challenge to 3D reconstruction. Traditional patterns can hardly be separated from each other, which surely influence the quality of the 3D reconstruction. To eliminate the interference problem, we propose a scheme of orthogonal coded multi-view structured light systems, which can obtain accurate of depth maps for a scene. Besides, we also test the stability of the orthogonal patterns by establishing three different scenes and making a comparisons to traditional patterns. New state-of-the-art results can be obtained by our scheme in the experiments.

关键词： image reconstruction

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Studying the Added Value of Computational Saliency in Objective image Quality Assessment

Studying the Added Value of Computational Saliency in Object...

引用

IEEE visual communications and image processing conference

作者： Zhang, Wei Borji, Ali Yang, Fuzheng Jiang, Ping Liu, Hantao Univ Hull Dept Comp Sci Kingston Upon Hull N Humberside England Univ Wisconsin Dept Comp Sci Milwaukee WI 53201 USA Xidian Univ Sch Telecommun Engn Xian Peoples R China

ISBN: (纸本)9781479961399

Advances in image quality assessment have shown the potential added value of including visual attention aspects in objective quality metrics. Numerous models of visual saliency are implemented and integrated in different quality metrics;however, their ability of improving a metric's performance in predicting perceived image quality is not fully investigated. In this paper, we conduct an exhaustive comparison of 20 state-of-the-art saliency models in the context of image quality assessment. Experimental results show that adding computational saliency is beneficial to quality prediction in general terms. However, the amount of performance gain that can be obtained by adding saliency in quality metrics highly depends on the saliency model and on the metric.

关键词： visual attention eye-tracking saliency model objective quality metric image quality assessment

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visual Navigation System with Real-time image processing for Patrol Service Robot

Visual Navigation System with Real-time Image Processing for...

引用

Int Joint conference of 10th IEEE Int Conf on Trust, Security and Privacy in Computing and communications (TrustCom) / 8th IEEE Int Conf on Embedded Software and Systems (ICESS) / 6th Int Conf on Frontier of Computer Science and Technology (FCST)

作者： Asami, Kenichi Hagiwara, Hayato Komori, Mochimitsu Kyushu Inst Technol Dept Appl Sci Integrated Syst Engn 1-1 Sensui Kitakyushu Fukuoka 8048550 Japan

ISBN: (纸本)9780769546001

The visual navigation system for a mobile patrol robot using image processing by FPGA and real-time Linux is presented. The CMOS image sensor and the stepper motors driver ICs are connected to external I/O ports of the FPGA. The image processing and motor drive circuits are implemented into the reconfigurable device as original logic. The image capture circuit applies state machine and FIFO memory buffer to adjust timing for pixel data transmission. The motor drive circuit generates clock signals for steps according to the value from processor in the FPGA. The realtime device driver has been developed for the linkage between flexible hardware circuits and real-time software applications for robot vision purpose.

关键词： autonomous mobile robot patrol service robot real-time image processing visual navigation system

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