This paper presents an improved parallel Two-Pass Hexagonal (TPA) algorithm constituted by Linear Hashtable Motion Estimation Algorithm (LHMEA) and Hexagonal Search (HEXBS) for motion estimation. Motion Vectors (MV) a...
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ISBN:
(纸本)0819461032
This paper presents an improved parallel Two-Pass Hexagonal (TPA) algorithm constituted by Linear Hashtable Motion Estimation Algorithm (LHMEA) and Hexagonal Search (HEXBS) for motion estimation. Motion Vectors (MV) are generated from the first-pass LHMEA and used as predictors for second-pass HEXBS motion estimation, which only searches a small number of Macroblocks (MBs). We used bashtable into video processing and completed parallel implementation. The hashtable structure of LHMEA is improved compared to the original TPA and LHMEA. We propose and evaluate parallel implementations of the LHMEA of TPA on clusters of workstations for real time video compression. The implementation contains spatial and temporal approaches. The performance of the algorithm is evaluated by using standard video sequences and the results are compared to current algorithms.
parallel architecture for fast and efficient visual and thermal face recognition fusion biometric system is presented in this paper. Almost all the decision fusion techniques, in the literature, are computationally ex...
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ISBN:
(纸本)9780780395930
parallel architecture for fast and efficient visual and thermal face recognition fusion biometric system is presented in this paper. Almost all the decision fusion techniques, in the literature, are computationally expensive. Gabor filter technique is used for recognition of features from input image and the database images. As Gabor filter itself has high computational requirements, so we have proposed a parallel solution, which is fast and efficient. Paper also discusses the performance issues of cluster computing based parallel face recognition along with its limitations and benefits.
This research aimed at building a fast video, parallel face recognition system based on the well known Gabor filtering approach. Face recognition is done after face detection in each frame of the video, individually. ...
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ISBN:
(纸本)9781424404568
This research aimed at building a fast video, parallel face recognition system based on the well known Gabor filtering approach. Face recognition is done after face detection in each frame of the video, individually. The master-slave technique is employed as the parallel computing model. Each frame is processed by different slave Personal Computers (PC) attached to the master, which acquire and distribute frames. It is believed that this approach can be used for practical face recognition applications with some further optimization.
A prototype of a 34 x 34 pixel image sensor, implementing real-time analog imageprocessing, is presented. Edge detection, motion detection, image amplification, and dynamic-range boosting are executed at pixel level ...
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A prototype of a 34 x 34 pixel image sensor, implementing real-time analog imageprocessing, is presented. Edge detection, motion detection, image amplification, and dynamic-range boosting are executed at pixel level by means of a highly interconnected pixel architecture based on the absolute value of the difference among neighbor pixels. The analog operations are performed over a kernel of 3 x 3 pixels. The square pixel, consisting of 30 transistors, has a pitch of 35 mu m with a fill-factor of 20%. The chip was fabricated in a 0.35 mu m CMOS technology, and its power consumption is 6 mW with 3.3 V power supply. The device was fully characterized and achieves a dynamic range of 50 dB with a light power density of 150 nW/mm(2) and a frame rate of 30 frame/s. The measured fixed pattern noise corresponds to 1.1% of the saturation level. The sensor's dynamic range can be extended up to 96 dB using the double-sampling technique.
We present our vision on the history of multiprocessor architectures for imageprocessing seen under the light of Darwin's Theory of Evolution, remembering our fruitful and entertaining scientific meetings with Pr...
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We present our vision on the history of multiprocessor architectures for imageprocessing seen under the light of Darwin's Theory of Evolution, remembering our fruitful and entertaining scientific meetings with Professor Azriel Rosenfeld along the nearly 30 years of our acquaintance. We experienced the blooming of novel systems (70s and 80s), the harvesting of such systems (90s) and later, the extinction of the massively parallel systems in favor of the adoption of large clusters of fast commercial processors to accomplish the same imageprocessing tasks. (C) 2004 Published by Elsevier B.V.
This paper presents a paralleled Two-Pass Hexagonal (TPA) algorithm constituted by Linear Hashtable Motion Estimation Algorithm (LHMEA) and Hexagonal Search (HEXBS) for motion estimation. In the TPA, Motion Vectors (M...
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ISBN:
(纸本)142440049X
This paper presents a paralleled Two-Pass Hexagonal (TPA) algorithm constituted by Linear Hashtable Motion Estimation Algorithm (LHMEA) and Hexagonal Search (HEXBS) for motion estimation. In the TPA, Motion Vectors (MV) are generated from the first-pass LHMEA and are used as predictors for second-pass HEXBS motion estimation, which only searches a small number of Macroblocks (MBs). We introduced hashtable into video processing and completed parallel implementation. We propose and evaluate parallel implementations of the LHMEA of TPA on clusters of workstations for real time video compression. It discusses how parallel video coding on load balanced multiprocessor systems can help, especially on motion estimation. The effect of load balancing for improved performance is discussed. The performance of the algorithm is evaluated by using standard video sequences and the results are compared to current algorithms.
In this paper, we introduce a new hierarchical interconnection network for massively parallel systems, named Fully Connected Cubic Network (FCCN). FCCN is able to emulate the popular Hypercube. FCCN has a constant nod...
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ISBN:
(纸本)0819442836
In this paper, we introduce a new hierarchical interconnection network for massively parallel systems, named Fully Connected Cubic Network (FCCN). FCCN is able to emulate the popular Hypercube. FCCN has a constant nodal degree of 4 and it therefore eliminates the problem of large fanout in Hypercube. Moreover, the constant degree is an important requirement for efficiently fabricating an architecture in parallel image processing. FCCN is also a highly scalable architecture in that the existing links remain intact when new nodes are introduced. FCCN is maximally fault tolerant and it enjoys reasonably low diameter, growth of the number of links and average internodal distance. At last, FCCN is used for parallel image processing system for interconnection. The computation results show that FCCN is a high efficient interconnection network for parallel image processing.
In this article, we present a parallel image processing system based on the concept of reactive agents. Our system lies in the oRis language, which allows to describe finely and simply the agents' behaviors to det...
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In this article, we present a parallel image processing system based on the concept of reactive agents. Our system lies in the oRis language, which allows to describe finely and simply the agents' behaviors to detect image features. We also present a method of segmentation using a multi-agent system, and two biological applications made with oRis. The stopping of this multi-agent system is implemented through a technique issued from immunology: the apoptosis. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
A fully integrated CMOS implementation of a continuous-time analog median filter is presented. The median filter uses two compact analog circuits as building blocks to implement the variable delay and median detection...
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A fully integrated CMOS implementation of a continuous-time analog median filter is presented. The median filter uses two compact analog circuits as building blocks to implement the variable delay and median detection. Median detectors are based on current saturating transconductance comparators, while the time delay is implemented using first-order all-pass filters. Both circuits allow modular expansion for the implementation of large median filter array processors. Based on these blocks, a new fast technique for parallel image processing is presented. It is shown that an image of 91 x 80 pixels can be processed in less than 8 mus using an array of median filter cells. Experimental results of a test chip prototype in 2-mum CMOS MOSIS technology are presented.
Two-dimensional digital image reproduction in a hologram memory causes incorrect decoding due to image distortion. In order to correct image distortion, the position coordinates of the four corners of the reproduced i...
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Two-dimensional digital image reproduction in a hologram memory causes incorrect decoding due to image distortion. In order to correct image distortion, the position coordinates of the four corners of the reproduced image are detected by template matching. However, much position detection processing time is required in this signal processing method. In this study, after having used both parallelprocessing that combines the marker-dividing approach and marker detection image-dividing approach in the hardware detecting process, and the redundant calculation elimination method and brightness totaling method in the software detection process, it is clarified that an increase in the speed of 260-fold could be obtained as compared with the conventional template matching process.
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