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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 891 条记录，以下是321-330 订阅

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image FILTER IDENTIFICATION USING DEMOSAICING RESIDUAL FEATURES 24

IMAGE FILTER IDENTIFICATION USING DEMOSAICING RESIDUAL FEATU...

引用

24th IEEE International conference on image processing (ICIP)

作者： Chen, Chen Stamm, Matthew C. Drexel Univ Dept Elect & Comp Engn Philadelphia PA 19104 USA

ISBN: (纸本)9781509021758

image filters have become a popular feature of photo editing software and camera phones. Filter identification can provide useful information for us to determine source and processing history of images. Currently, there is no forensic work done to perform filter identification. In this paper, we propose a framework to search for color correlations left by different filters in a set of interpolation residuals obtained from various demosaicing algorithms. To effectively capture the structures of color correlations, we design a diverse set of geometric co-occurrence patterns and gather both intra-channel and inter-channel color dependencies using co-occurrence matrices. Experiments conducted on two large image databases full demonstrate the ability of our framework to identify a wide range of filters provided by both cameras and third-party software.

关键词： Filter identification Multi-media forensics Co-occurrence matrix Ensemble classifier

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Deep Learning Based Estimation of the Eye Pupil Center by Using image Patch Classification 25

Deep Learning Based Estimation of the Eye Pupil Center by Us...

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25th signal processing and Communications Applications conference (SIU)

作者： Karakoc, Necmeddin Said Karahan, Samil Akgul, Yusuf Sinan Gcbze Tekn Univ GTU Bilgisayarla Gorme Lab Bilgisayar Muhendisligi Bolumu TR-41400 Kocaeli Turkey

ISBN: (纸本)9781509064946

In this work, eye pupil center estimation was performed by using Convolutional Neural Network (CNN) from deep learning methods which are mentioned frequently in the field of machine learning recently, without need for any special hardware. 64x64 image patches created with four different scales were trained through the Caffe framework using the AlexNet model, which was arranged according to its input image. The distances from patch center to eye pupil center were used as class labels in train phase. In the test phase, distance classes were produced by giving four-scaled image patches formed by points using sliding window approach in eye area as an input to the trained model. The center of eye pupil was estimated by taking the weighted average of those points which have distance classes near to zero. The recommended technique achieved more successful results than similar state of the art techniques in the literature according to the results of experiments using BioID dataset.

关键词： Deep Learning Convolutional Neural Network Pupil Center Estimation

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Fusion Based Resolution Enhancement in Hyperspectral images 25

Fusion Based Resolution Enhancement in Hyperspectral Images

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25th signal processing and Communications Applications conference (SIU)

作者： Irmak, Hasan Akar, Gozde Bozdagi Yuksel, Seniha Esen Aselsan AS ODTU Elekt & Elekt Muhendisligi Ankara Turkey ODTU Elekt & Elekt Muhendisligi Ankara Turkey Hacettepe Univ Elekt & Elekt Muhendisligi Ankara Turkey

ISBN: (纸本)9781509064946

Increasing the low spatial resolution of hyperspectcal images (HSIs) improves the performance of applications in which the HSIs are used. In this study, a fusion based method is proposed to increase the resolution of IISIs. In the proposed method, low resolution (LR) HSI is fused with the high resolution (HR) RGB image to obtain the HR HSI. In this approach, instead of using the spectral images as in the conventional methods, RGB image is used with the abundance maps of the HSI estimated from the linear unmixing and the spatial resolution is enhanced using these maps. In this method, firstly, endmembers are estimated and LR abundance maps are obtained. Then, HR abundance maps are obtained by minimizing an energy function, which is constructed from the LR abundance maps with the HR RGB image. Finally, HR HSI is obtained from these HR abundance maps. The method is tested with real HSIs. Main contribution of the method is converting fusion problem to a quadratic optimization problem in the abundance map domain without any assumption or prior knowledge. The proposed method solves the fusion problem with a computational time much lower than the state-of-the-art fusion based methods with a competing performance.

关键词： Hyperspectral Resolution Enhancement image Fusion Abundance Maps

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Demo: Overlay architectures For Heterogeneous FPGA Cluster Management

Demo: Overlay Architectures For Heterogeneous FPGA Cluster M...

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conference on design and architectures for signal and image processing (dasip)

作者： Bollengier, Theotime Najem, Mohamad Le Lann, Jean-Christophe Lagadec, Loic B Com Brest France ENSTA Bretagne Lab STICC MOCS Brest France

ISBN: (纸本)9791092279153

Overlays are reconfigurable architectures synthesized on commercial of the shelf (COTS) FPGAs. Overlays bring some advantages such as portability, resources abstraction, fast configuration, and can exhibit features independent from the host FPGA. We designed a fine-grained overlay implementing novel features easing the management of such architectures in a cluster of heterogeneous COTS FPGAs. This demonstration shows the use of this overlay in an FPGA cluster, performing a hardware application live migration between two nodes of a cluster. It also illustrates fault tolerance of the cluster.

关键词： Field programmable gate arrays (FPGA)

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The image acquisition system design of floor grinder

The image acquisition system design of floor grinder

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International conference on Optical Instruments and Technology - Optoelectronic Devices and Optical signal processing

作者： Wang Yang-jiang Liu Wei Liu Hui-qin Minnan Univ Sci & Technol Ind Robot Measurement & Control & Rapid Mold Mfg Shishi 362700 Fujian Peoples R China

ISBN: (数字)9781510617469

ISBN: (纸本)9781510617469;9781510617452

Based on linear CCD, high resolution image real-time acquisition system serves as designing a set of image acquisition system for floor grinder through the calculation of optical imaging system. The entire image acquisition system can collect images of ground before and after the work of the floor grinder, and the data is transmitted through the Bluetooth system to the computer and compared to realize real-time monitoring of its working condition. The system provides technical support for the design of unmanned ground grinders.

关键词： automation image acquisition CCD

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Hyperspectral image classification with convolutional networks trained with self-dual attribute profiles 25

Hyperspectral image classification with convolutional networ...

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25th signal processing and Communications Applications conference (SIU)

作者： Koc, Safak Guner Aptoula, Erchan Okan Univ Mekatron Muhendisligi Bolumu Istanbul Turkey Gebze Tekn Univ Bilisim Teknol Enstitusu Kocacli Turkey

ISBN: (纸本)9781509064946

Attribute profiles are widely regarded among the most prominent spectral-spatial pixel description methods, providing high performance at a low computational cost. Following their success with computer vision applications, deep learning methods on the other hand are also being rapidly deployed and adapted into the remote sensing image analysis domain, where they already provide competitive description performances. The combination of attribute profiles with convolutional neural networks has recently taken place, showing that these powerful approaches can collaborate. In this paper we explore that direction one step further, by first feeding a convolutional neural network self-dual attribute profiles stacked as a tensor, and then by harvesting the ultimate layer's features for a supervised classification. Our preliminary experiments indicate that this approach leads to a performance improvement.

关键词： attribute profiles tree of shapes convolutional neural networks pixel classification hyperspectral images

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A Common Backend for Hardware Acceleration on FPGA 35

A Common Backend for Hardware Acceleration on FPGA

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35th IEEE International conference on Computer design (ICCD)

作者： Del Sozzo, Emanuele Baghdadi, Riyadh Amarasinghe, Saman Santambrogio, Marco D. Politecn Milan DEIB Milan Italy MIT CSAIL Cambridge MA 02139 USA

ISBN: (纸本)9781538622544

Field Programmable Gate Arrays (FPGAs) are configurable integrated circuits able to provide a good trade-off in terms of performance, power consumption, and flexibility with respect to other architectures, like CPUs, GPUs and ASICs. The main drawback in using FPGAs, however, is their steep learning curve. An emerging solution to this problem is to write algorithms in a Domain Specific Language (DSL) and to let the DSL compiler generate efficient code targeting FPGAs. This work proposes FROST, a unified backend that enables different DSL compilers to target FPGA architectures. Differently from other code generation frameworks targeting FPGA, FROST exploits a scheduling co-language that enables users to have full control over which optimizations to apply in order to generate efficient code (e.g. loop pipelining, array partitioning, vectorization). At first, FROST analyzes and manipulates the input Abstract Syntax Tree (AST) in order to apply FPGA-oriented transformations and optimizations, then generates a C/C++ implementation suitable for High-Level Synthesis (HLS) tools. Finally, the output of HLS phase is synthesized and implemented on the target FPGA using Xilinx SDAccel toolchain. The experimental results show a speedup up of 15x with respect to O3-optimized implementations of the same algorithms on CPU.

关键词： Field programmable gate arrays Optimization DSL Tools Computer architecture Pipeline processing signal processing algorithms

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Behavioral Verification of Service Component Architecture 26

Behavioral Verification of Service Component Architecture

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26th IEEE International conference on Enabling Technologies - Infrastructure for Collaborative Enterprises (WETICE)

作者： Chargui, Wael Rouis, Taoufik Sakka Kmimech, Mourad Bhiri, Mohamed Tahar Sliman, Layth Raddaoui, Badran Univ Tunis El Manar UR OASIS ENIT Tunis Tunisia Univ Manouba Crystal Lab ENSI Manouba 2010 Tunisia Pole Technol Sfax Lab Miracl ISIMS Sfax Tunisia Efrei Ecole Ingenieur Gen Informat Villejuif France Telecom Sudparis 9 Rue Charles Fourier F-91000 Evry France

ISBN: (纸本)9781538617595

Currently, much research looks at treating the behavior properties beginning with the architectural design phase in SCA (Software Component architectures) based applications. In this paper, we propose to map SCA onto the Wright ADL in order to verify the behavioral consistency of SCA software architectures. To achieve this goal, we suggest translating this source software architecture into a Wright configuration. Using Wr2fdr tool, this Wright configuration can be automatically translated to a CSP specification acceptable by the FDR2 model-checker.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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A Fast Approach for Adaptive Conventional Recursive Least-Squares Predictor in Lossless Compression of Hyperspectral images 25

A Fast Approach for Adaptive Conventional Recursive Least-Sq...

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25th signal processing and Communications Applications conference (SIU)

作者： Karaca, Ali Can Gullu, Mehmet Kemal Kocaeli Univ Elekt & Haberlesme Muhendisligi Bolumu Kocaeli Turkey

ISBN: (纸本)9781509064946

Recursive least-squares (RLS) based prediction methods are very popular in lossless compression of hyperspectral imaging. Adaptive selection of number of bands used in the prediction in RLS based methods increases compression performance significantly. However, this process brings additional computational load. In this work, a sample reduction based fast adaptive method to determine the number of bands required for prediction is proposed. Performance of the proposed method is compared to the-state-of-the-art methods in terms of bitrates and computation times and obtained results are discussed.

关键词： Hyperspectral image compression lossless compression recursive least squares algorithm

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Proceedings of the 2017 International conference on Wireless Communications, signal processing and Networking, WiSPNET 2017

Proceedings of the 2017 International Conference on Wireless...

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2nd IEEE International conference on Wireless Communications, signal processing and Networking, WiSPNET 2017

ISBN: (纸本)9781509044412

The proceedings contain 504 papers. The topics discussed include: design and analysis of 5.2 GHz fractal rectangular microstrip patch antenna using Hilbert curve;link budget profile for non-line-of-sight atmospheric infrared links;dynamic key generation using single threshold multiple level quantization scheme for secure wireless communication;a survey on defect detection in bare PCB and assembled PCB using image processing techniques;morphological technique for detection of microaneurysms from RGB fundus images;interest point detection based on Laplacian energy of local image network;diabetic retinopathy: review on anatomical regions extraction methods and image databases of the retina;developing smart green cloud-an energy saving approach: a review and analysis;WiMAX for data aggregation in smart grid communication network - a review;novel design of sensing and transmission duration in cognitive radios for energy efficiency;energy efficient and reliable network design to improve lifetime of low power IoT networks;selection of features using particle swarm optimization for microaneurysm detection in fundus images;a review on recent improved image fusion techniques;implementation of single precision conventional and fused floating point add-sub unit using Verilog;development of lifting double wavelet for lidar signal denoising to retrieve temperature profiles;and edge enhancement of liver CT images using non subsampled shearlet transform based multislice fusion.

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