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Novel "Squiral" (square spiral) architecture for fast image processing

JOURNAL OF VISUAL COMMUNICATION AND image REPRESENTATION 2017年第Nov.期49卷 371-381页

作者： Jing, Min Scotney, Bryan Coleman, Sonya McGinnity, T. Martin Ulster Univ Coleraine Londonderry North Ireland Nottingham Trent Univ Nottingham England

fast image processing is a key element in achieving real-time image and video analysis. We propose a novel framework based on a square spiral (denoted as "squiral") architecture to facilitate fast image processing. Unlike conventional image pixel addressing schemes, where the pixel indices are based on two-dimensional Cartesian coordinates, the spiral addressing scheme enables the image pixel indices to be stored in a one dimensional vector, thereby accelerating the subsequent processing. We refer to the new framework as "Squiral" image processing (SIP). Firstly we introduce the approach for SIP conversion that transforms a standard 2D image to a 1D vector according to the proposed "squiral" architecture. Secondly we propose a non-overlapping convolution technique for SIP-based convolution, in which the SIP addressing scheme is incorporated by simulating the phenomenon of eye tremor in the human visual system. Furthermore, we develop a strategy to extend the SIP framework to be multiscale. The performance of the proposed framework is evaluated by the application of SIP-based approaches to edge and corner detection. The results demonstrate the efficiency of the proposed SIP framework compared with standard 2D convolution.

关键词： Square spiral ("squiral") image processing (SIP) Spiral addressing scheme Eye tremor Non-overlapping convolution fast image processing

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General Structure Design for fast image processing Algorithms Based upon FPGA DSP Slice

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Physics Procedia 2012年 33卷 690-697页

作者： Wael Wasfy Hong Zheng School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 P. R. China

Increasing the speed and accuracy for a fast image processing algorithms during computing the image intensity for low level 3x3 algorithms with different kernel but having the same parallel calculation method is our target to achieve in this paper. FPGA is one of the fastest embedded systems that can be used for implementing the fast image processing image algorithms by using DSP slice module inside the FPGA we aimed to get the advantage of the DSP slice as a faster, accurate, higher number of bits in calculations and different calculated equation maneuver capabilities. Using a higher number of bits during algorithm calculations will lead to a higher accuracy compared with using the same image algorithm calculations with less number of bits, also reducing FPGA resources as minimum as we can and according to algorithm calculations needs is a very important goal to achieve. So in the recommended design we used as minimum DSP slice as we can and as a benefit of using DSP slice is higher calculations accuracy as the DSP capabilities of having 48 bit accuracy in addition and 18 x 18 bit accuracy in multiplication. For proofing the design, Gaussian filter and Sobelx edge detector image processing algorithms have been chosen to be implemented. Also we made a comparison with another design for proofing the improvements of the accuracy and speed of calculations, the other design as will be mentioned later on this paper is using maximum 12 bit accuracy in adding or multiplying calculations.

关键词： fast image processing DSP slice Embedded systems

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General Structure Design for fast image processing algorithms based upon FPGA DSP slice

General Structure Design for fast Image Processing algorithm...

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2010 International Colloquium on Computing,Communication, Control, and Management (CCCM2010)

作者： Wael Wasfy School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics

Increasing the speed and accuracy for a fast image processing algorithms during computing the image intensity for low level 3x3 algorithms with different kernel but having the same parallel calculation method is our target to achieve in this *** is one of the fastest embedded systems that can be used for implementing the fast image processing image algorithms by using DSP slice module inside the FPGA we aimed to get the advantage of the DSP slice as a faster,accurate,higher number of bits in calculations and different calculated equation maneuver *** a higher number of bits during algorithm calculations will lead to a higher accuracy compared with using the same image algorithm calculations with less number of bits,also reducing FPGA resources as minimum as we can and according to algorithm calculations needs is a very important goal to *** in the recommended design we used as minimum DSP slice as we can and as a benefit of using DSP slice is higher calculations accuracy as the DSP capabilities of having 48 bit accuracy in addition and 18 x 18 bit accuracy in *** proofing the design,Gaussian filter and Sobelx edge detector image processing algorithms have been chosen to be *** we made a comparison with another design for proofing the improvements of the accuracy and speed of calculations,the other design as will be mentioned later on this paper is using maximum 12 bit accuracy in adding or multiplying calculations

关键词： fast image processing DSP slice Embedded systems

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fast processing of foreign fiber images by image blocking

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Information processing in Agriculture 2014年第1期1卷 2-13页

作者： Yutao Wu Daoliang Li Zhenbo Li Wenzhu Yang Beijing Engineering&Technology Research Center for Internet of Things in Agriculture China-EU Center for Information and Communication Technologies in Agriculture of China Agriculture UniversityBeijing100083PR China Key Lab of Machine Learning and Computational Intelligence College of Mathematics and Computer ScienceHebei UniversityBaoding071002PR China

In the textile industry,it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton *** the foundation of the foreign fiber automated inspection,image process exerts a critical impact on the process of foreign fiber *** paper presents a new approach for the fast processing of foreign fiber *** approach includes five main steps,image block,image predecision,image background extraction,image enhancement and segmentation,and image *** first,the captured color images were transformed into gray-scale images;followed by the inversion of gray-scale of the transformed images;then the whole image was divided into several ***,the subsequent step is to judge which image block contains the target foreign fiber image through image *** we segment the image block via OSTU which possibly contains target images after background eradication and image ***,we connect those relevant segmented image blocks to get an intact and clear foreign fiber target *** experimental result shows that this method of segmentation has the advantage of accuracy and speed over the other segmentation *** the other hand,this method also connects the target image that produce fractures therefore getting an intact and clear foreign fiber target image.

关键词： Cotton Foreign fibers fast image processing image block image pre-decision image connection

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fast, Multi-Scale image processing on a Square Spiral Framework 18

Fast, Multi-Scale Image Processing on a Square Spiral Framew...

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International Conference on Artificial Intelligence and Pattern Recognition (AIPR)

作者： Fegan, John Coleman, Sonya Kerr, Dermott Scotney, Bryan Ulster Univ Magee Northland Rd Derry Londonderry BT48 7JL North Ireland Ulster Univ Cromore Rd Coleraine BT52 1SA Londonderry North Ireland

ISBN: (纸本)9781450365246

Efficient processing of digital images is a key consideration in many machine vision tasks. Traditional image processing approaches often struggle to meet this demand, particularly at the initial low-level of processing image pixels. To overcome this, we propose a spiral based processing approach which takes inspiration from the asymmetric lattice of interlocking cells found in the human visual system. Here we demonstrate the efficiency of the proposed spiral approach for multi-scale feature extraction. This is complemented by a biologically inspired image acquisition process which is used to capture nine image frames at different spatial locations. The results demonstrate that the biologically inspired spiral approach offers a faster alternative to corresponding traditional image processing approaches.

关键词： fast image processing Square Spiral Address Scheme Eye Tremor Multi-Scale Feature Extraction Edge Detection

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fast, Multi-Scale image processing on a Square Spiral Framework

Fast, Multi-Scale Image Processing on a Square Spiral Framew...

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作者： John Fegan Sonya Coleman Dermott Kerr Bryan Scotney Ulster University

关键词： fast image processing Square Spiral Address Scheme Eye Tremor Multi-Scale Feature Extraction Edge Detection

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Graph-based tools for microscopic cellular image segmentation

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PATTERN RECOGNITION 2009年第6期42卷 1113-1125页

作者： Ta, Vinh-Thong Lezoray, Olivier Elmoataz, Abderrahim Schupp, Sophie Univ Caen Basse Normandie CNRS GREYC ENSICAENUMR 6072 F-14050 Caen France

We propose a framework of graph-based tools for the segmentation of microscopic cellular images. This framework is based on an object oriented analysis of imaging problems in pathology. Our graph tools rely on a general formulation of discrete functional regularization on weighted graphs of arbitrary topology. It leads to a set of useful tools which can be combined together to address various image segmentation problems in pathology. To provide fast image segmentation algorithms, we also propose an image simplification based on graphs as a pre processing step. The abilities of this set of image processing discrete tools are illustrated through automatic and interactive segmentation schemes for color cytological and histological images segmentation problems. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Cytological and histological images Pathology Weighted graphs image processing tools Discrete regularization fast image processing Automatic and interactive segmentation schemes

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Computationally Efficient Formulation of Sparse Color image Recovery in the JPEG Compressed Domain

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JOURNAL OF MATHEMATICAL IMAGING AND VISION 2014年第1期49卷 173-190页

作者： Florea, Camelia Gordan, Mihaela Vlaicu, Aurel Orghidan, Radu Tech Univ Cluj Napoca Dept Commun Intelligent & Multimodal Image Proc & Anal Grp Cluj Napoca Romania

Sparse representations provide a powerful framework for various image processing tasks, among which image recovery seems to be an already classical application. While most developments of image recovery applications are focused on finding the best dictionary, the possibility of using already existing sparse image representations tends to be ignored. This is the case of the JPEG compressed image representation, which is a sparse image representation in terms of the discrete cosine transform (DCT) dictionary. The development of sparse frameworks directly on the JPEG encoded image representation can lead to computationally efficient approaches. Here we introduce a DCT-based JPEG compressed domain formulation of the color image recovery process within a sparse representation framework and we prove mathematically and experimentally not only its numerical efficiency as compared to the pixel level formulation (the processing time is reduced up to 40 %), but also the good quality of the restoration results.

关键词： Sparse image representation Color image information recovery/restoration Discrete Cosine Transform (DCT) Compressed domain processing fast image processing

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A clinical perspective of accelerated statistical reconstruction

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EUROPEAN JOURNAL OF NUCLEAR MEDICINE 1997年第7期24卷 797-808页

作者： Hutton, BF Hudson, HM Beekman, FJ WESTMEAD HOSP DEPT PHYS MEDSYDNEYNSWAUSTRALIA WESTMEAD HOSP DEPT NUCL MED & ULTRASOUNDSYDNEYNSWAUSTRALIA MACQUARIE UNIV DEPT STATSYDNEYNSW 2109AUSTRALIA UNIV UTRECHT HOSP DEPT NUCL MEDIMAGE SCI INSTUTRECHTNETHERLANDS

Although the potential benefits of maximum likelihood reconstruction have been recognised for many years, the technique has only recently found widespread popularity in clinical practice, Factors which have contributed to the wider acceptance include improved models for the emission process, better understanding of the properties of the algorithm and, not least, the practicality of application with the development of acceleration schemes and the improved speed of computers, The objective in this article is to present a framework for applying maximum likelihood reconstruction for a wide range of clinically based problems, The article draws particularly on the experience of the three authors in applying an acceleration scheme involving use of ordered subsets to a range of applications, The potential advantages of statistical reconstruction techniques include: (a) the ability to better model the emission and detection process, in order to make the reconstruction converge to a quantitative image, (b) the inclusion of a statistical noise model which results in better noise characteristics, and (c) the possibility to incorporate prior knowledge about the distribution being imaged, The great flexibility in adapting the reconstruction for a specific model results in these techniques having wide applicability to problems in clinical nuclear medicine.

关键词： single-photon emission tomography maximum likelihood reconstruction fast image processing

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Bilateral Guided Upsampling

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ACM TRANSACTIONS ON GRAPHICS 2016年第6期35卷 1-8页

作者： Chen, Jiawen Adams, Andrew Wadhwa, Neal Hasinoff, Samuel W. Google Res Mountain View CA 94043 USA MIT CSAIL Cambridge MA USA

ISBN: (纸本)9781450342797

We present an algorithm to accelerate a large class of image processing operators. Given a low-resolution reference input and output pair, we model the operator by fitting local curves that map the input to the output. We can then produce a full-resolution output by evaluating these low-resolution curves on the full-resolution input. We demonstrate that this faithfully models state-of-the-art operators for tone mapping, style transfer, and recoloring. The curves are computed by lifting the input into a bilateral grid and then solving for the 3D array of affine matrices that best maps input color to output color per x, y, intensity bin. We enforce a smoothness term on the matrices which prevents false edges and noise amplification. We can either globally optimize this energy, or quickly approximate a solution by locally fitting matrices and then enforcing smoothness by blurring in grid space. This latter option reduces to joint bilateral upsampling [Kopf et al. 2007] or the guided filter [ He et al. 2013], depending on the choice of parameters. The cost of running the algorithm is reduced to the cost of running the original algorithm at greatly reduced resolution, as fitting the curves takes about 10 ms on mobile devices, and 1-2 ms on desktop CPUs, and evaluating the curves can be done with a simple GPU shader.

关键词： bilateral grid fast image processing local curve

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