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

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The Future of Consumer Cameras 13

The Future of Consumer Cameras

引用

conference on image processing - algorithms and systems XIII

作者： Battiato, Sebastiano Moltisanti, Marco Univ Catania Dept Math & Comp Sci Image Proc Lab I-95124 Catania Italy

ISBN: (纸本)9781628414899

In the last two decades multimedia, and in particular imaging devices (camcorders, tablets, mobile phones, etc.) have been dramatically diffused. Moreover the increasing of their computational performances, combined with an higher storage capability, allows them to process large amount of data. In this paper an overview of the current trends of consumer cameras market and technology will be given, providing also some details about the recent past (from Digital Still Camera up today) and forthcoming key issues.

关键词： Digital Still Camera Smartphone Perspective

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Analysis of Color Rendering Transformation Effects on Dehazing Performance 12

Analysis of Color Rendering Transformation Effects on Dehazi...

引用

International Society Design conference

作者： Lee, Yeejin Nguyen, Truong Q. Univ Calif San Diego ECE Dept La Jolla CA 92093 USA

ISBN: (纸本)9781467393089

Dehazing is an image restoration technique generally applied as a post-processing step in a camera processing pipeline. The performance of dehazing algorithms is strongly dependent on the electro-optics transfer curve of image acquisition. In order to reduce color distortion on restored images, we investigate how color rendering transformations affect the dehazing algorithms in a camera processing pipeline. First, we develop numerical analysis on how a hazy image model is modified by color rendering transformations in a pipeline. Based on the analysis and observations, we conclude that better dehazing performance can be achieved when a dehazing algorithm is applied before color rendering transformations. In addition to the theoretical analysis, experimental results validate our conclusion.

关键词： dehazing/defogging image enhancement color rendering transformation gamma correction image signal processor advanced driver assistance systems

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Louvain community detection with parallel heuristics on GPUs

Louvain community detection with parallel heuristics on GPUs

引用

IEEE International conference on Intelligent Engineering systems (INES)

作者： Richard Forster Faculty of Informatics Eotvos Lorand University Budapest Hungary

Community detection has become an important operation in numerous graph based applications. It is used to reveal groups that exist within real world networks without imposing prior size or cardinality constraints on the set of communities. Despite its potential, the support for parallel computers is rather limited. This is largely because the algorithm is irregular and the underlying heuristics imply a sequential nature. In this paper I present parallelization heuristics for fast community detection using the Louvain method as it is applied on GPUs. The Louvain method is a multi-phase, iterative heuristic for modularity optimization. It was originally developed by Blondel et al. (2008), the method has become increasingly popular owing to its ability to detect high modularity community partitions in a fast and memory-efficient manner. The parallel heuristics used, were first introduced by Hao Lu et al. (2015). As the Louvain method is inherently sequential, it limits the possibility of scalable usage. Thanks to the proposed parallel heuristics, I observe how this method can behave on GPUs. For evaluation I implemented the heuristics using CUDA on a GeForce GTX 980M GPU and for testing I used organization landscapes from the CERN developed Collaboration Spotting project that involves patents and publications to visualize the connections in technologies among its collaborators. Compared to the parallel Louvain implementation running on 8 threads on the same machine that has the used GPU, the CUDA implementation is able to produce community outputs comparable to the CPU generated results, while providing absolute speedups of up to 12 using the GeForce GTX 980M mobile GPU.

关键词： Graphics processing units Computer architecture Instruction sets Parallel algorithms Heuristic algorithms Partitioning algorithms image edge detection

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ON THE ACCURACY OF POINT LOCALISATION IN A CIRCULAR CAMERA-ARRAY

ON THE ACCURACY OF POINT LOCALISATION IN A CIRCULAR CAMERA-A...

引用

IEEE International conference on image processing (ICIP)

作者： Ghasemi, Alireza Scholefield, Adam Vetterli, Martin Ecole Polytech Fed Lausanne Sch Comp & Commun Sci CH-1015 Lausanne Switzerland

ISBN: (纸本)9781479983391

Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-camera systems. By considering the problem from a frame-quantisation perspective, we are able to quantify the point localisation error of circular camera configurations. Specifically, we obtain closed form expressions bounding the localisation error in terms of the parameters describing the acquisition setup. These theoretical results are independent of the localisation algorithm and thus provide fundamental limits on performance. Furthermore, the new frame-quantisation perspective is general enough to be extended to more complex camera configurations.

关键词： image sampling image sequences Reconstruction algorithms Signal quantization

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A Comparative Study: Spatial Domain Filter for Medical image Enhancement 4

A Comparative Study: Spatial Domain Filter for Medical Image...

引用

2015 International conference on Signal processing And Communication Engineering systems (SPACES)

作者： Narasimha, C. Rao, A. Nagaraja Madanapalle Inst Technol & Sci Dept CSE Madanapalle Andhra Pradesh India Vellore Inst Technol Univ Sch CSE Vellore Tamil Nadu India

ISBN: (纸本)9781479961085

Now a day's representation of visual data in digital images is a good way of communication, but the image is degraded with the noise after the transmission. Noise is a major factor that effects image quality which is mainly produced in the methods of image acquirement and transmission. image processing is required before the image can be utilized. Denoising the images holds the operation of the data of image to yields a visually high quality image. The main focus of this paper is, it presents the types of noise models, different types of noises and differentiating of image enhancement techniques. Here we provide a comparative study & exploration of different image enhancement algorithms.

关键词： Digital image Spatial Filtering image Enhancement

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GPU-Accelerated Nick Local image Thresholding Algorithm 21

GPU-Accelerated Nick Local Image Thresholding Algorithm

引用

21st IEEE International conference on Parallel and Distributed systems ICPADS

作者： Najafi, M. Hassan Murali, Anirudh Lilja, David J. Sartori, John Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA

ISBN: (纸本)9780769557854

Binarization plays an important role in document image processing, particularly in degraded document images. Among all local adaptive image thresholding algorithms, the Nick method has shown excellent binarization performance for degraded document images. However, local image thresholding algorithms, including the Nick method, are computationally intensive, requiring significant time to process input images. In this paper, we propose three CUDA GPU parallel implementations of the Nick local image thresholding algorithm for faster binarization of large images. Our experimental results show that the GPU-accelerated implementations of the Nick method can achieve up to 150x performance speedup on a GeForce GTX 480 compared to its optimized sequential implementation.

关键词： CUDA GPU Programming image binarization GPU acceleration image thresholding parallel programming

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A Comparison of Human and Automated Face Verification Accuracy on Unconstrained image Sets

A Comparison of Human and Automated Face Verification Accura...

引用

IEEE Computer Society conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Austin Blanton Kristen C. Allen Tim Miller Nathan D. Kalka Anil K. Jain Noblis Michigan State University

Automatic face recognition technologies have seen significant improvements in performance due to a combination of advances in deep learning and availability of larger datasets for training deep networks. Since recognizing faces is a task that humans are believed to be very good at, it is only natural to compare the relative performance of automated face recognition and humans when processing fully unconstrained facial imagery. In this work, we expand on previous studies of the recognition accuracy of humans and automated systems by performing several novel analyses utilizing unconstrained face imagery. We examine the impact on performance when human recognizers are presented with varying amounts of imagery per subject, immutable attributes such as gender, and circumstantial attributes such as occlusion, illumination, and pose. Results indicate that humans greatly outperform state of the art automated face recognition algorithms on the challenging IJB-A dataset.

关键词： Face Face recognition Lighting image recognition Probes Protocols Databases

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A Fingerprint Recognition Framework Using Artificial Neural Network 10

A Fingerprint Recognition Framework Using Artificial Neural ...

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10th International conference on Intelligent systems - Theories and Applications (SITA)

作者： Oulhiq, Ridouane Ibntahir, Saad Sebgui, Marouane Guennoun, Zouhair Mohammed V Univ LEC Lab Rabat Morocco Mohammed V Univ EMI Rabat Morocco

ISBN: (纸本)9781509002207

Fingerprinting is one of the most used biometrics for people identification, it relays on image processing and classification algorithms. In this work we propose and test a framework that enables fingerprint detection using a set of image pre-processing algorithm. Concerning the features extraction, we propose the use of the number of bifurcations in image localities, and we propose the use of Artificial Neural Network (ANN) for the classification. The performance of our framework is evaluated for three different activation functions and show that we can reach an accuracy of 81%.

关键词： fingerprint recognition neural networks minutiae extraction image pre-processing logistic sigmoid

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Computer based quantification of normal and pathological vocal folds phonatory processes from laryngovideostroboscopy

Computer based quantification of normal and pathological voc...

引用

3rd International conference on Innovative Network systems and Applications (iNetSApp) held in conjunction with Federated conference on Computer Science and Information systems (FedCSIS)

作者： Kopczynski, Bartosz Strumillo, Pawel Niebudek-Bogusz, Ewa Lodz Univ Technol Inst Elect Ul Wolczanska 211-215 PL-90924 Lodz Poland Nofer Inst Occupat Med Dept Audiol & Phoniatr PL-91348 Lodz Poland

ISBN: (纸本)9788360810668

Medical imaging techniques offer novel visualization and analysis methods of the vocal folds during phonation and automatic computation of indices aiding the phoniatrist in a more precise diagnosis of voice disorders. The aim of this study is to apply computer vision algorithms for qualitative and quantitative analysis of vocal folds' vibrations. Videostroboscopic examinations of the larynx were carried out for 30 patients. image pre-processing and image segmentation algorithms were applied to compute the glottis area during phonation. The glottovibrograms which are spatio-temporal visualizations of the vibrating vocal folds were also built. The proposed indices allow for a quantitative and comparative analysis of normal and disordered phonatory processes. The conducted pilot study has confirmed the validity of the computer aided imaging methods for the qualitative and quantitative analysis of the videostroboscopic images of the phonatory motions of the vocal folds.

关键词： computer vision image segmentation medical image processing video signal processing analysis methods automatic index computation comparative analysis computer aided imaging methods computer based quantification computer vision algorithms disordered phonatory process glottis area glottovibrograms image preprocessing laryngovideostroboscopy larynx medical imaging techniques normal phonatory process normal vocal fold phonatory process pathological vocal fold phonatory process phonation phonatory motions qualitative analysis quantitative analysis spatio-temporal visualizations videostroboscopic images visualization methods vocal fold vibrations voice disorder diagnosis Algorithm design and analysis Cameras Computers image segmentation Larynx Pathology Videos image segmentation Vocal Cords Larynx images Computers Phonation computer vision Algorithm design and analysis visualization methods QUANTITATIVE ANALYSIS Video signal processing Medical image processing Videotapes Cameras pathology

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Approximate 32-bit floating-point unit design with 53% power-area product reduction

Approximate 32-bit floating-point unit design with 53% power...

引用

European conference on Solid-State Circuits (ESSCIRC)

作者： Vincent Camus Jeremy Schlachter Christian Enz Michael Gautschi Frank K. Gurkaynak Integrated Circuits Laboratory (ICLAB) Ecole Polytechnique Fédérale de Lausanne (EPFL) Neuchatel Switzerland Integrated Systems Laboratory (IIS) Swiss Federal Institute of Technology in Zurich (ETHZ) Zurich Switzerland

The floating-point unit is one of the most common building block in any computing system and is used for a huge number of applications. By combining two state-of-the-art techniques of imprecise hardware, namely Gate-Level Pruning and Inexact Speculative Adder, and by introducing a novel Inexact Speculative Multiplier architecture, three different approximate FPUs and one reference IEEE-754 compliant FPU have been integrated in a 65 nm CMOS process within a low-power multi-core processor. Silicon measurements show up to 27% power, 36% area and 53 % power-area product savings compared to the IEEE-754 single-precision FPU. Accuracy loss has been evaluated with a high-dynamic-range image tone-mapping algorithm, resulting in small but non-visible errors with image PSNR value of 90 dB.

关键词： Adders Logic gates Power measurement Hardware Multicore processing Approximation algorithms

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