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conference on design and architectures for signal and image processing

作者： Francesca Palumbo Università degli Studi di Sassari (Italy)

ISBN: (纸本)9781509030859

In the field of signal processing in general, and in particular in the image processing one, it is quite common to customize the underling architecture to improve computing efficiency. This section is dedicated to architectures for image processing and four different papers will be presented. Solutions based on application specific processors, characterized on the processing requirements, may improve on board processing and facilitate data transmission from distributed computing nodes as presented in first paper. Memory hierarchy implementation and management is fundamental to improve computing efficiency. In this sense, the second paper investigates the usage of associative memories for pattern detection purposes and will apply them in the context of Clustered Neural Networks, while the third one presents a memory efficient architecture implementing in hardware the Multi-Scale Line Detector algorithm for real-time retinal blood vessel detection. Finally, the last paper is more system oriented, being focused on modelling techniques to derive and verify lossless compression IP cores.

关键词： image processing ARCHITECTURE Application specific processors Building construction data transmission signal processing paper Associative memory Solutions Memory Retinal Vessels

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Matrix Quadrature Filterbanks for image processing

Matrix Quadrature Filterbanks for Image Processing

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IEEE Pulsed Power conference

作者： Jian-ao Lian Yonghui Wang Department of Mathematics Prairie View A&M University Department of Engineering Technology Prairie View A&M University

ISBN: (纸本)9781509063901

An innovative approach is presented to establish bidimensional (2D) linear-phase matrix quadrature filterbanks (MQF) directly from their matrix identities. It is well-known that two-channel quadrature filterbanks (QMF) have been successfully applied to signal and image processing. Bidimensional QMF filterbanks directly deduced from tensor-products of 1D QMF filterbanks is easy, straightforward, and convenient. They possess both the finite impulse response (FIR) and the perfect reconstruction (PR) properties, which are necessary for filter-banks' alias-free as well as magnitude and phase distortion-free characteristics. However, some additional desirable features are missing. These features include directional features, magnitude preservation, energy preservation, and energy compaction. Direct consideration from matrices yields more freedoms for the design of the new ingenuous MQF. A new MQF is designed and is applied to image compression. The rate-distortion performance shows that the proposed matrix wavelet has promising potential applications in image processing.

关键词： image processing Quadrature mirror filters matrices energy compaction QUADRATURE IMPULSE RESPONSE image compression Data compression Tensor products Phase distortion EARTHQUAKE MAGNITUDE WELLS

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Spatio-Spectro-Temporal Coded Aperture design for Multiresolution Compressive Spectral Video Sensing

Spatio-Spectro-Temporal Coded Aperture Design for Multiresol...

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European signal processing conference

作者： Kareth Leon Lopez Laura Galvis Henry Arguello Fuentes Department of Computer Science Universidad Industrial de Santander Bucaramanga Colombia Department of Electrical and Computer Engineering University of Delaware Newark DE USA

Colored coded apertures (CCA) have been introduced in compressive spectral imaging (CSI) systems entailing richer coding strategies. CCA incorporate a wavelength-dependent coding procedure, which not only achieves spatial but also spectral coding in a single step. Even though the use of the CCA offers significant advantages and could also be applied to compressive spectral video sensing, this later application still exhibits diverse challenges originated by the temporal variable. The scene motion during the acquisition yields to motion artifacts such that these artifacts get aliased during the video reconstruction, damaging the entire data. As a result, multiresolution approaches have been proposed in order to alleviate the aliasing and enhance the video reconstruction. In this paper, it is proposed an algorithm to generate temporal colored coded aperture patterns that allow to sense the spatial, spectral and temporal information in an uniform way such that each spectral frame is spatially sensed at least once. In addition, it is proposed a multiresolution approach in the spectral multiplexing system allowing to extract optical flow estimates to address a higher quality reconstruction. Simulation results show an improvement up to 6 dB in terms of peak-signal to noise ratio (PSNR) in the reconstruction quality with the multiresolution approach using the designed patterns with respect to traditional random structures.

关键词： Apertures Optical sensors image reconstruction Optical imaging Optical filters Correlation Spatial resolution

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EEG source imaging assists decoding in a face recognition task

EEG source imaging assists decoding in a face recognition ta...

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IEEE International conference on Acoustics, Speech and signal processing

作者： Rasmus S. Andersen Anders U. Eliasen Nicolai Pedersen Michael Riis Andersen Sofie Therese Hansen Lars Kai Hansen Technical University of Denmark Department of Applied Mathematics and Computer Science Richard Petersens Plads B324 DK-2800 Kgs. Lyngby Denmark

ISBN: (纸本)9781509041183

EEG based brain state decoding has numerous applications. State of the art decoding is based on processing of the multivariate sensor space signal, however evidence is mounting that EEG source reconstruction can assist decoding. EEG source imaging leads to high-dimensional representations and rather strong a priori information must be invoked. Recent work by Edelman et al. (2016) has demonstrated that introduction of a spatially focal source space representation can improve decoding of motor imagery. In this work we explore the generality of Edelman et al. hypothesis by considering decoding of face recognition. This task concerns the differentiation of brain responses to images of faces and scrambled faces and poses a rather difficult decoding problem at the single trial level. We implement the pipeline using spatially focused features and show that this approach is challenged and source imaging does not lead to an improved decoding. We design a distributed pipeline in which the classifier has access to brain wide features which in turn does lead to a 15% reduction in the error rate using source space features. Hence, our work presents supporting evidence for the hypothesis that source imaging improves decoding.

关键词： Brain state decoding Brain computer interface BCI EEG source imaging Face recognition Facial Recognition source image DECODING Brain-Computer Interfaces Error analysis Electroencephalography

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Lossless compression of subaperture images using context modeling

Lossless compression of subaperture images using context mod...

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3DTV conference

作者： Ionut Schiopu Moncef Gabbouj Atanas Gotchev Miska M. Hannuksela Laboratory of Signal Processing Tampere University of Technology Tampere FINLAND Nokia Technologies Tampere FINLAND

ISBN: (纸本)9781538616369;9781538616352

The paper proposes a method for lossless compression of subaperture image stacks obtained by rectifying light-field images captured by a plenoptic camera. We exploit the similarities between two subaperture images using a predictive coding algorithm, where the current view is predicted from one reference view. Context modeling is the main technique used to reduce the image file size. A suitable image segmentation and a template context are used by the context tree algorithm for encoding up to the smallest detail in each subaperture image. Entropy coding is configured by a residual analysis module. The results show improved performance compared to the state-of-the-art encoders.

关键词： image segmentation image coding Prediction algorithms Cameras Encoding Context modeling Algorithm design and analysis

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Demo: SLP-aware word length optimization

Demo: SLP-aware word length optimization

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conference on design and architectures for signal and image processing

作者： Ali Hassan El Moussawi Steven Derrien Avenue Général Leclerc Université de Rennes1 Rennes

ISBN: (纸本)9781509030859

Many embedded processors do not support floating-point arithmetic. But they generally provide support for SIMD as a mean to improve performance for near-zero cost overhead. Achieving good performance when targeting such processors requires the use of fixed-point arithmetic and efficient SIMDization. To reduce applications time-to-market, automatic SIMDization and floating-point conversion methodologies have been proposed. In this paper we show that these two problems are strongly related and should be considered jointly. We briefly present a new SLP-aware floating-point conversion flow.

关键词： Program processors Dynamic range Optimization Quantization (signal) Computational modeling Parallel processing Context

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Session 4: Advanced hardware architectures

Session 4: Advanced hardware architectures

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conference on design and architectures for signal and image processing

作者： Morteza Biglari-Abhari University of Auckland (New-Zealand)

ISBN: (纸本)9781509030859

Using hardware architectures to improve performance and energy efficiency has been a key factor for application-specific optimisations. Latest Field Programmable Gate Arrays (FPGA) can not only be used as a reconfigurable hardware platform, they also provide hard core processors and other hard core IPs on the same chip to implement multiprocessor systems on chip, which can be tuned based on the target applications characteristics. In this session, the first two papers present the challenges and optimisations to use hardware architectures based on FPGA for wireless communication systems. In addition an investigation of the crosstalk effects on the Network on Chip energy consumption, as the main interconnection network in multiprocessor systems on chip, is presented.

关键词： hardware architecture Field programmable gate arrays ARCHITECTURE Computer hardware system-on-chip multiprocessor system on chip Hardware Platform Wireless communication systems Interconnection networks Multiprocessor

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Effective eye pupil localization with enhanced shape isotope cornea curvature technique

Effective eye pupil localization with enhanced shape isotope...

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International conference on Science Technology Engineering and Management (ICONSTEM)

作者： G. Sumathy Arokia Renjith CSE-Dept Sathyabama University Tamilnadu India Jeppiaar Engineering College Tamilnadu India

In this paper we tend to propose a brand of new algorithmic rule to observe the pupil of each eyes from a high intensity image. The center point of the pupils of each eyes area point extracted from the concern image by the eye feature extracted. The projected algorithmic rule computes a value of center points employing a spatial constraint for normal and abnormal eyes. Eye value is computed by looking for a circular region of the iris around every feature purpose. Finally, the algorithmic rule determines the eye center points with the tiniest value of the pupil center of each eyes. The results of the experiment victimisation eye not support with spectacles within the eye information of the IITM. Success rate of our proposed algorithmic rule was good on the avg.

关键词： Feature extraction image edge detection Algorithm design and analysis Detection algorithms Iris signal processing algorithms Cornea

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Viewpoint selection for photographing architectures

arXiv

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arXiv 2017年

作者： He, Jingwu Wang, Linbo Zhou, Wenzhe Zhang, Hongjie Cui, Xiufen Guo, Yanwen National Key Lab for Novel Software Technology Nanjing University NanJing210023 China MOE Key Laboratory of Intelligent Computing and Signal Processing Institute of Media Computing Anhui University HeFei230039 China Samsung Electronics R&D China

—This paper studies the problem of how to choose good viewpoints for taking photographs of architectures. We achieve this by learning from professional photographs of world famous landmarks that are available on the Internet. Unlike previous efforts devoted to photo quality assessment which mainly rely on 2D image features, we show in this paper combining 2D image features extracted from images with 3D geometric features computed on the 3D models can result in more reliable evaluation of viewpoint quality. Specifically, we collect a set of photographs for each of 15 world famous architectures as well as their 3D models from the Internet. Viewpoint recovery for images is carried out through an image-model registration process, after which a newly proposed viewpoint clustering strategy is exploited to validate users’ viewpoint preferences when photographing landmarks. Finally, we extract a number of 2D and 3D features for each image based on multiple visual and geometric cues and perform viewpoint recommendation by learning from both 2D and 3D features using a specifically designed SVM-2K multi-view learner, achieving superior performance over using solely 2D or 3D features. We show the effectiveness of the proposed approach through extensive experiments. The experiments also demonstrate that our system can be used to recommend viewpoints for rendering textured 3D models of buildings for the use of architectural design, in addition to viewpoint evaluation of photographs and recommendation of viewpoints for photographing architectures in practice. Copyright © 2017, The Authors. All rights reserved.

关键词： Photography

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Session 3: Method and tools for system design

Session 3: Method and tools for system design

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conference on design and architectures for signal and image processing

作者： Diana Goehringer Ruhr-Universitat Bochum (Germany)

ISBN: (纸本)9781509030859

The four papers in this session present novel methodologies covering different aspects of system design. The first paper proposes a decentralized system-level security approach for task isolation on heterogeneous MPSoCs. A first prototype of the isolation unit is presented and realized in VHDL. The second paper focuses on low power design methods for system design based on lightweight dataflow programming techniques. The approach is evaluated by designing an FPGA-based accelerator for a deep neural network. The third paper presents a method for automated code generation for SIMD architectures based on constraint programming. The benefits of the approach are evaluated with DSP kernels and by comparing the results to hand-optimized code. Finally, the fourth paper proposes a methodology based on fuzzy logic for object image quality assessment (IQA) and compares it against other IQA approaches.

关键词： isolation unit System design Code generation constraint handling paper Fuzzy logic EQUIPMENT SIMD architecture target image

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