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image reconstruction capabilities of binary phase-only filters

Image reconstruction capabilities of binary phase-only filte...

引用

Proceedings of the 22nd Southeastern symposium on System Theory

作者： Raj, K. Pieper, R.J. Poon, T.-C. Optical Image Process Lab Virginia Polytech Inst & State Univ Blacksburg VA USA

ISBN: (纸本)0818620382

A qualitative study is made of the image reconstruction capabilities of binary phase-only filters (BPOFs) and the binary Hartley phase-only filters (BHPOFs). It is found that the BPOF and BHPOF reconstruct edge-enhanced versions of the original object functions and that the image reconstruction of the BHPOF is better than that of the BPOF. However, for some applications such as optical interconnections, edge enhanced reconstruction is not desirable. Filled image reconstruction is achieved by using a Gaussian apodized mask on the BPOF and BHPOF. Also, a real-time hybrid optical system for such filled image reconstruction is presented.

关键词： image processing

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Primitive-based image coding technique for still pictures

Primitive-based image coding technique for still pictures

引用

IEEE International symposium on Circuits and Systems 1989, the 22nd ISCAS. Part 1

作者： Alattar, Adnan M. Rajala, Sarah A. North Carolina State Univ Raleigh NC USA

A new image coding technique for achieving an extremely high compression ratio while producing good image quality is described. The idea is analogous to that used in forensic applications when constructing a composite image of a criminal from a collection of images of facial features. The input image is segmented into complicated primitives that are coded using a previously constructed database of primitives. A duplicate database is used at the receiver to decode the primitives. The decoded primitives are assembled as in computer animation to produce a faithful reconstruction of the original image. The technique has been applied to head-and-shoulders images and compression ratios over 1000:1 have been achieved.

关键词： image processing

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MAP-based simultaneous correspondence estimation and object segmentation using stochastic diffusion

MAP-based simultaneous correspondence estimation and object ...

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Proceedings of the 22nd Picture Coding symposium: PCS-2001

作者： Lee, Sang Hwa Kanatsugu, Yasuaki Park, Jong-Il Object-based Broadcasting Syst. R.L. NHK Engineering Services Inc. C/O NHK STRL 1-10-11 Kinuta Setagaya-ku Tokyo 157-1580 Japan Div. of Electrical and Computer Eng. Hanyang University Sungdong-ku Seoul Korea Republic of

This paper proposes a Maximum A Posteriori (MAP) algorithm for simultaneous motion estimation and object segmentation using the stochastic diffusion. The stochastic diffusion is a new optimization method to search for the solutions in the MAP estimation. It diffuses the Gibbs potential space with the complete stochastic characteristics of the neighboring fields. The stochastic diffusion shows better performances in the senses of regularization of the estimated fields, robustness of noise, and fast convergence. In the paper, the stochastic diffusion is formulated to perform the simultaneous correspondence estimation and object segmentation. The line field is also included to improve the detection of the boundaries. According to the some experiments, the stochastic diffusion has good segmentation performance. Especially, the segmentation are improved at the boundaries by combination of correspondence and line field, and multiple objects are extracted at the same time.

关键词： image processing

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A mixture of two gender classification experts

A mixture of two gender classification experts

引用

25th Conference on graphics, Patterns and images, SIBGRAPI 2012

作者： El-Din, Yomna Safaa Moustafa, Mohamed N. Mahdi, Hani Department of Computer and Systems Engineering Ain Shams University Cairo Egypt Department of Computer Science and Engineering American University in Cairo New Cairo Egypt

ISBN: (纸本)9780769548296

This paper presents a novel method for combining the outputs of different gender classification techniques based on facial images. Merging the methods is performed by a committee machine using the Bayesian theorem. We implement and compare several well-known individual classifiers on four different datasets, then we experiment the proposed machine, and show that it significantly improves the accuracy of classification compared to individual classifiers. We also include results that address the effect of scale on the performance of classifiers. © 2012 IEEE.

关键词： Classification (of information)

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Distributed evidence propagation in junction trees

Distributed evidence propagation in junction trees

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IEEE International symposium on computer Architecture and High Performance Computing

作者： Xia, Yinglong Prasanna, Viktor K. Computer Science Department University of Southern California Los Angeles CA 90089 United States Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA 90089 United States

ISBN: (纸本)9780769542164

Evidence propagation is a major step in exact inference, a key problem in exploring probabilistic graphical models. In this paper, we propose a novel approach for evidence propagation on clusters. We decompose a junction tree into a set of subtrees, and then perform evidence propagation in the subtrees in parallel. The partially updated subtrees are merged after evidence collection. In addition, we propose a technique to explore tradeoff between overhead due to startup latency of message passing and bandwidth utilization efficiency. We implemented the proposed method on state-of-the- art clusters using MPI. Experimental results show that the proposed method exhibits superior performance compared with the baseline methods. © 2010 IEEE.

关键词： Message passing

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A multi-layered development framework for medical imaging applications

A multi-layered development framework for medical imaging ap...

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2009 22nd IEEE International symposium on computer-Based Medical Systems, CBMS 2009

作者： Silva, André Ferreira Bem Carvalho, Diego Dias Bispo Nóbrega, Tiago H. C. Inácio, Renan Teston Von Wangenheim, Aldo LAPIX - Laboratory for Image Processing and Computer Graphics UFSC - Federal University of Santa Catarina Florianópolis Santa Catarina Brazil

ISBN: (纸本)9781424448784

computer Aided Diagnostic comprises wide research areas with stability and reliability software requirements. We propose a set of libraries aiming to provide a development framework for medical applications. This framework's libraries, mostly written from scratch (e.g Core library), were developed for both medical imaging systems and general physical simulations. Their internal interactions tend to be transparent to the developer and easy to use at the same time while providing flexibility to interact with other codes. The robustness of the code is shown in complex applications like the medical workstation here exemplified, while its flexibility and fast prototyping characteristics are exemplified with some simple demonstrations. © 2009 IEEE.

关键词： Libraries

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Depth-of-Field Guided Rendering for Light Field Displays 22

Depth-of-Field Guided Rendering for Light Field Displays

引用

IS and T International symposium on Electronic Imaging 2024: 22nd image processing: Algorithms and Systems, IPAS 2024

作者： Akbar, Kamran Bregovic, Robert Tampere University Tampere Finland

Light field displays have a finite angular and spatial resolution, which limits the display's depth-of-field, that is, the depth range around the display screen in which the display can visualize a 3D scene with the maximum spatial resolution. This limitation causes aliasing artifacts in the parts of the scene that are outside of that range, resulting in a distorted appearance. The aliasing artifacts can be mitigated by properly blurring those parts, with blurring preferably done at the rendering stage. Though methods for rendering a single view with a correct depth of field exist, using those methods for rendering a large light field is computationally heavy. In this paper we propose a method for simultaneously rendering multiple adjacent views in a light field, with each of them having the required depth of field. By means of examples, we show that the proposed method can render a desired light field several times faster than methods for rendering a single view, without compromising on the overall rendered quality. © 2024, Society for Imaging Science and Technology.

关键词： Rendering (computer graphics)

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PRIMADONNA: A system for automated defect disposition of production masks using wafer lithography simulation

PRIMADONNA: A system for automated defect disposition of pro...

引用

22nd Annual BACUS symposium on Photomask Technology

作者： Bald, D Munir, S Lieberman, B Howard, WH Mack, CA Intel Corp Santa Clara CA 95052 USA

ISBN: (纸本)0819446750

Today's reticle inspection tools can provide a wealth of information about defects. We introduce here a system called DIVAS: Defect Inspection Viewing, Archiving, and Simulation that fully uses and efficiently manages this wealth of defect information. In this paper, we summarize the features of DIVAS and describe in more detail PRIMADONNA, one of its components. Current reticle defect specifications are based, primarily, on defect size. Shrinking design rules, increasing MEEF and use of Optical Enhancement Techniques cause size to be an inadequate criterion for disposition. Furthermore, visual disposition of defects is not automated, strictly reproducible, or directly tied to wafer lithography. To compensate for these inadequacies, reticle specifications are set conservatively adding direct and hidden costs to the manufacturing process. PRIMADONNA, utilizing PROLITH(TM) as the simulation engine, retrieves all defect and reference images saved from a KLA-Tencor SLF77 inspection tool and processes them through a series of increasingly rigorous simulation stages. These include pre-filtering, aerial image formation, and post filtration. Difference metrics are used to quantify a defect's wafer impact. We will report results comparing PRIMADONNA decisions to manual STM classifications for a significant volume of inspections. Correlation between PRIMADONNA results and AIMs(TM) metrology will be presented.

关键词： Inspection Photomasks Semiconducting wafers image processing Lithography Reticles Databases Defect inspection Infrared imaging computer simulations

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PIK-Convolution: Step Convolution Acceleration based on Multi-GPU Architecture 22

PIK-Convolution: Step Convolution Acceleration based on Mult...

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22nd IEEE International symposium on Parallel and Distributed processing with Applications, ISPA 2024

作者： Peng, Yutao Wang, Yaobin Wang, Tianhai Han, Mei Xu, Yunxin Tang, Pingping Southwest University of Science and Technology School of Computer Science and Technology Mianyang621010 China

ISBN: (纸本)9798331509712

SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will cause repeated memory access. To solve above problems, we propose an algorithm integrated with the hardware level, parallel in kernel Convolution(PIK-Convolution), which reduces the granularity of a SingleConvolution and avoid the problem of storage access pressure caused by spatial locality. Unlike image to column(im2col) algorithm, we avoid the problem of non-adjacent data in memory directly from hardware perspective. With MGPUSim, a multi-GPU architecture platform, we implement our algorithm. A large number of experimental results show that the proposed algorithm performs well on the new architecture. Compared with the unoptimized algorithm, the overall efficiency of the new algorithm is optimized by 2.2×-7.45×, and the memory access efficiency is an average of 30× of the unoptimized algorithm. Compared to the state-of-the-art convolution acceleration, our algorithm has a performance optimization of 1.5×-2.2. © 2024 IEEE.

关键词： graphics processing unit

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Segmentation of large images with complex networks

Segmentation of large images with complex networks

引用

25th Conference on graphics, Patterns and images, SIBGRAPI 2012

作者： Cuadros, Oscar Botelho, Glenda Rodrigues, Francisco Neto, João Batista São Carlos Brazil

ISBN: (纸本)9780769548296

image segmentation is still a challenging issue in pattern recognition. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks, one being high processing times. With the recent developments on complex networks theory, pattern recognition techniques based on graphs have improved considerably. The identification of cluster of vertices can be considered a process of community identification according to complex networks theory. Since data clustering is related with image segmentation, image segmentation can also be approached via complex networks. However, image segmentation based on complex networks poses a fundamental limitation which is the excessive numbers of nodes in the network. This paper presents a complex network approach for large image segmentation that is both accurate and fast. To that, we incorporate the concept of super pixels, to reduce the number of nodes in the network. We evaluate our method for both synthetic and real images. Results show that our method can outperform other graph-based methods both in accuracy and processing times. © 2012 IEEE.

关键词： image segmentation

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