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  • Freely Available from IEEE

    Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)


    Image Processing, 2000. Proceedings. 2000 International Conference on

    Volume: 3
    DOI: 10.1109/ICIP.2000.899231
    Publication Year: 2000

    IEEE Conference Publications

  • Freely Available from IEEE

    Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)


    Image Processing, 2001. Proceedings. 2001 International Conference on

    Volume: 2
    DOI: 10.1109/ICIP.2001.958404
    Publication Year: 2001

    IEEE Conference Publications

  • Freely Available from IEEE

    2004 International Conference on Image Processing (ICIP) (IEEE Cat. No.04CH37580)


    Image Processing, 2004. ICIP '04. 2004 International Conference on

    Volume: 1
    DOI: 10.1109/ICIP.2004.1418669
    Publication Year: 2004

    IEEE Conference Publications

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    Vector directional filters-a new class of multichannel image processing filters

    Trahanias, P.E. ; Venetsanopoulos, A.N.
    Image Processing, IEEE Transactions on

    Volume: 2 , Issue: 4
    DOI: 10.1109/83.242362
    Publication Year: 1993 , Page(s): 528 - 534
    Cited by:  Papers (73)

    IEEE Journals & Magazines

    Vector directional filters (VDF) for multichannel image processing are introduced and studied. These filters separate the processing of vector-valued signals into directional processing and magnitude processing. This provides a link between single-channel image processing where only magnitude processing is essentially performed, and multichannel image processing where both the direction and the magnitude of the image vectors play an important role in the resulting (processed) image. VDF find applications in satellite image data processing, color image processing, and multispectral biomedical image processing. Results are presented here for the case of color images, as an important example of multichannel image processing. It is shown that VDF can achieve very good filtering results for various noise source models View full abstract»

  • Freely Available from IEEE

    Proceedings of 3rd IEEE International Conference on Image Processing


    Image Processing, 1996. Proceedings., International Conference on

    Volume: 1
    DOI: 10.1109/ICIP.1996.559416
    Publication Year: 1996

    IEEE Conference Publications

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    Analytical study of parallel and distributed image processing

    Prajapati, H.B. ; Vij, S.K.
    Image Information Processing (ICIIP), 2011 International Conference on

    DOI: 10.1109/ICIIP.2011.6108870
    Publication Year: 2011 , Page(s): 1 - 6

    IEEE Conference Publications

    The available literature on parallel and distributed image processing is scattered and not organized for use to beginners. Thus, there is a need of concise understanding of parallel and distributed image processing area. In this paper, we present analysis of parallel and distributed image processing with comprehensive details, so that it becomes very useful to beginners and to those who are new to parallel or distributed image processing field. We present the outcome of our study of parallel and distributed image processing with emphasis on mechanisms, tools/technology/API used, application domains, and ongoing research work. We examine the research issues in parallel and distributed image processing. We also identify some future research directions for distributed image processing. This study provides concise understanding of the parallel and distributed image processing area to the beginners. View full abstract»

  • Freely Available from IEEE

    Proceedings of 1st International Conference on Image Processing


    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

    Volume: 1
    DOI: 10.1109/ICIP.1994.413262
    Publication Year: 1994

    IEEE Conference Publications

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    Automated synthesis of image processing procedures for a large-scale image database

    Chien, S.A.
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

    Volume: 3
    DOI: 10.1109/ICIP.1994.413779
    Publication Year: 1994 , Page(s): 796 - 800 vol.3
    Cited by:  Papers (1)

    IEEE Conference Publications

    This paper describes the Multimission VICAR Planner (MVP) system, which uses models of the image processing programs to automatically construct executable image processing procedures to fill science requests made to the JPL Multimission Image Processing Laboratory (MIPL). The MVP system allows the user to specify the image processing requirements in terms of the various types of correction required. Given this information, MVP which use Artificial Intelligence (AI) Planning techniques to derive unspecified required processing steps and determines appropriate image processing programs and parameters to achieve the specified image processing goals. This information is output as an executable image processing program which can then be executed to fill the processing request View full abstract»

  • Freely Available from IEEE

    Proceedings of International Conference on Image Processing


    Image Processing, 1997. Proceedings., International Conference on

    Volume: 2
    DOI: 10.1109/ICIP.1997.635506
    Publication Year: 1997

    IEEE Conference Publications

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    Theory and application of image neighborhood parallel processing

    Guangda Su ; Jiongxin Liu ; Yan Shang ; Boya Chen ; Shi Chen
    Image Processing (ICIP), 2009 16th IEEE International Conference on

    DOI: 10.1109/ICIP.2009.5414487
    Publication Year: 2009 , Page(s): 2313 - 2316

    IEEE Conference Publications

    We propose the theory of image neighborhood processing which includes algorithm, storage and processing for parallel image data. Its core idea lies in the identity and parallelism of data structures used by software algorithm, memory and processing unit. This theory solves the problem of frame data flow which is the bottleneck of high speed image processing. In this paper, we discuss the storage structure using incomplete rotate matrix and its corresponding processing unit. Based on the theory of image neighborhood processing, we have developed NIPC-3 neighborhood image parallel computer, providing parallel access to very large neighborhood image. The largest size of neighborhood core is 25 × 24 and the peak speed of neighborhood computing reaches 135 billion multiplication-accumulation operations per second. Experimental results show that NIPC-3 enables much faster implementation for low level processing and can be utilized by more complex algorithms. View full abstract»

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    An Efficient Image Processing Method Based on Web Services for Mobile Devices

    Yi Liang ; Yingyuan Xiao ; Jing Huang
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

    DOI: 10.1109/CISP.2009.5302450
    Publication Year: 2009 , Page(s): 1 - 5

    IEEE Conference Publications

    The resource limitation of mobile devices causes the problem that the existing image processing software based on the centralized computing mode had difficulty running in mobile devices. A solution is given in the paper by adopting Web service-based image processing method. For one thing, image processing tasks were distributed to service providers' service registry and service requesters. For another, what the service providers should do was only to invocate the specific image processing services provided by service providers. Consequently, Web service-based solution reduces the resource consumption of mobile devices by redistributing image processing tasks. Compared with traditional methods of image processing, Web service-based image processing method has the advantages of loose coupling and component oriented and can take full advantage of the computing resources in heterogeneous network. Thus Web service-based image processing method can effectively solve the resource bottle-neck that traditional image processing software had. View full abstract»

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    Medical Image Archiving, Processing, Analysis and Communication System for Teleradiology

    Suapang, P. ; Dejhan, K. ; Yimmun, S.
    TENCON 2010 - 2010 IEEE Region 10 Conference

    DOI: 10.1109/TENCON.2010.5686025
    Publication Year: 2010 , Page(s): 339 - 345
    Cited by:  Papers (2)

    IEEE Conference Publications

    The design and implementation of Medical Image Archiving, Processing, Analysis and Communication System for Teleradiology which DICOM server was developed using software such as Borland Delphi 6.0, PHP and MySQL for image archive, image compression, image processing, image analysis and image transmission. The system provides the following facilities: (1) DICOM-format image archive. (2) Medical Image Compression. (3) DICOM viewer and Image processing, and (4) Image analysis. The results shown that (1) our system can also convert the image data both single frame and multiframes in normal or automatic DICOM process into the standard DICOM 3.0 format without altering the image data. (2) The resulting images are then compressed with two different techniques-JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio. (3) our system can open single frame and multiframes such as DICOM, INTERFILE, BITMAP, JPEG and JPEG2000 each of which can exhibit information in. dcm file format with no distortion and image processing which has also the capabilities to zoom in/out and contrast/color map. And, (4) Image analysis sets ROI semi-automatically on region of expected disease based on geometric active contour model from edge of variance image and Canny edge detection. Thence, our system can calculate of Glomerular Filtration Rate (GFR), Effective Renal Plasma Flow (ERPF), and plot of the Time Activity Curve or Renogram The system has been developed and provided medical image services over long distance which showed the usefulness of our approach. View full abstract»

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    Design and implementation of a distributed real-time image processing system

    Wu, D.M. ; Guan, L. ; Lau, G. ; Rahija, D.
    Engineering of Complex Computer Systems, 1995. Held jointly with 5th CSESAW, 3rd IEEE RTAW and 20th IFAC/IFIP WRTP, Proceedings., First IEEE International Conference on

    DOI: 10.1109/ICECCS.1995.479340
    Publication Year: 1995 , Page(s): 266 - 269
    Cited by:  Papers (2)

    IEEE Conference Publications

    A new development in the design and implementation of a distributed, real-time image processing system is presented. The system uses an IBM personal computer as the front end to a remote computer via the Internet. The standard TCP/IP networking protocols are utilised to link the IBM-PC and high performance remote devices such as transputer networks and supercomputers. The access to the powerful remote computers enables the system to complete complex image processing tasks in real-time. During processing, the image is transferred to the remote machine and then transferred back to the PC for display. The system serves as a prototype for a full-feature image processing and analysis package, as well as a programming platform for the research and development of new image processing algorithms View full abstract»

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    A Web-Based Framework for Distributed Medical Image Processing Using Image Markup Language (IML)

    Miri, M.P. ; Pooshfam, H. ; Rajeswari, M. ; Ramachandram, D.
    Computer Modeling and Simulation, 2009. EMS '09. Third UKSim European Symposium on

    DOI: 10.1109/EMS.2009.55
    Publication Year: 2009 , Page(s): 470 - 475
    Cited by:  Papers (2)

    IEEE Conference Publications

    Image processing plays an important role in computer science, making complex image manipulation more feasible. It can be used either in a general manner or in specific domains such as for medical purposes. With the availability of the internet, image processing applications can be distributed to be available for different people, regardless of their geographical location. Although there are a handful of professional image processing solutions available, there is no well-designed framework that can be simply distributed and customized to be used in specific areas. Other than image processing tools, image storage and retrieval is another issue that needs to be addressed. This research proposes a general platform that can be used for implementing a distributed image processing framework. It provides solutions for storing and retrieving images, particularly large-size ones as well as an approach for executing image processing functions that are physically located anywhere within the distributed system. View full abstract»

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    Image Processing in Vision 3D Coordinate Measurement System

    Zhou Xing-lin ; Peng Kai
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

    DOI: 10.1109/CISP.2009.5305840
    Publication Year: 2009 , Page(s): 1 - 5
    Cited by:  Papers (2)

    IEEE Conference Publications

    In the image processing of a vision three-dimensional (3D) coordinate measurement system which is consisted of a CCD camera, a computer and a special light pen with several LEDs, unknowable noise images hold the way to get the image of LEDs out of the original image in data processing of the system. It is intolerant in real-time measurement system to use a usual method of recognizing object which can give a correct answer only in weak noise background. In this paper, a method using the principle of subtraction is introduced to efficiently separate the image of LEDs from the original image at the first step of the image processing. The positions of LEDs image in original image can easily be estimated when background is subtracted from the original image. The coordinates of image center of these LEDs will be obtained with ellipse fitting methods to analyze some small areas of the original image around the estimated image of LEDs. It theoretically costs computer less half time to use the proposed method than to use the usual method of recognizing object in algorithmic analysis. The experiments show that this method is not only fast but precise in estimating and ascertaining the coordinates of the image of LEDs in the original image. View full abstract»

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    Development and Application of Online Image Processing System Based on Applet and JAI

    Ma Weifeng ; Mao Keji
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

    Volume: 1
    DOI: 10.1109/ESIAT.2009.46
    Publication Year: 2009 , Page(s): 382 - 385

    IEEE Conference Publications

    Facing the drawback existing in the stand-alone image processing software, the article proposes a Web-based online image processing software architecture, and make use of the advanced image processing technology of Java Applet and JAI to achieve. Detailed introducing and analysis the programming development method of JAI advanced image processing technology and Applet plug-in implementation process. At the same time, combining the actual research work, Appling the system to the low-resolution remote sensing image distributed processing system, Application results show that the system has a feature of good practicality, multi-platform and security, which can fit different needs of distributed image process. View full abstract»

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    A modular advanced pipeline image processing accelerator

    Messner, R.A. ; Bloomfield, J.
    Aerospace Applications Conference, 1996. Proceedings., 1996 IEEE

    Volume: 4
    DOI: 10.1109/AERO.1996.499676
    Publication Year: 1996 , Page(s): 407 - 422 vol.4

    IEEE Conference Publications

    Next generation image processing hardware must be able to deal efficiently with the vast amounts of image data provided by advanced sensors as well as the data manipulations required by complex image processing algorithms. In this paper we outline a proposed next generation image processing accelerator being pursued by Datacube, Inc. and the University of New Hampshire. A preliminary evaluation of the proposed system is discussed providing a blueprint for specific implementation. The resulting architecture is called the Advanced image Processing Accelerator (AIPA). AIPA represents a new paradigm for the architecture of real-time image processing systems. This design eliminates the bottleneck inherent in many currently available real-time image processing solutions. Estimated Operations per Second (OPS) for this design is between 50 and 500 Giga-OPS, depending on the system configuration. The system is open architecture, is highly scalable, and cost-effective for a wide range of defense, R&D, medical, and industrial applications. The AIPA system is designed to support popular workstations and operating systems, third-party imaging accelerators and software, and commercial off-the-shelf CPUs and peripherals. A new and innovative approach to intelligent resource allocation and scheduling provides a simple method for algorithm developers to interface with the AIPA hardware. Preliminary technical design and projected performance for each subsystem is presented View full abstract»

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    Hybrid model for preserving brightness over the digital image processing

    Ahirwar, V. ; Yadav, H. ; Jain, A.
    Computer and Communication Technology (ICCCT), 2013 4th International Conference on

    DOI: 10.1109/ICCCT.2013.6749602
    Publication Year: 2013 , Page(s): 48 - 53

    IEEE Conference Publications

    Digital image processing is versatile research in this era. Many researchers implement different types of organizations like image restoration, image enhancement, color image processing, image segmentation etc. Image enhancement technique is among the simplest and most appealing area of digital image processing. Enhancement techniques like brightness preservation, contrast enhancement highlight certain features means depend which part of the image want to be enhance some application some input image including noise, reduction or removal of noise is also form of image enhancement. Brightness preservation has enhanced visual quality of digital image so that the limitation contained in these images is used for various applications in a better way. A very popular technique for image enhancement is histogram equalization (HE) and curvelet transformation. HE technique is commonly employed for image enhancement because of its simplicity and comparatively better performance on almost all types of images. Another widely used technique is curvelet transformation. This technique is identified and separate bright regions of image but more error rate and low peak signal to noise ratio(PSNR), result of this technique is brightness preservation level is low and output image is gray. This paper design a hybrid model through discrete cosine transformation, discrete wavelet transformation and combine output of both techniques with image fusion. Proposed algorithm enhanced features and removal noise by decomposition of image using DWT and discrete cosine transformation, adaptive histogram equalization is very important part in this algorithm for smooth image. The tested results of different images are comparing with previous method, generating result with different parameters; less mean square error and high PSNR for improve the quality of an image. This paper presents a hybrid model used various parameter for enhance images like satellite images, medical images etc. View full abstract»

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    Applying GPU and POSIX thread technologies in massive remote sensing image data processing

    Yuehu Liu ; Bin Chen ; Hao Yu ; Yong Zhao ; Zhou Huang ; Yu Fang
    Geoinformatics, 2011 19th International Conference on

    DOI: 10.1109/GeoInformatics.2011.5980671
    Publication Year: 2011 , Page(s): 1 - 6
    Cited by:  Papers (2)

    IEEE Conference Publications

    Since the introduction of CUDA (Compute Unified Device Architecture), GPU (Graphics Processing Unit) was used in various fields rapidly. Some researchers used the GPU computing technology in remote sensing image processing, and revealed that one hundred times speedup could be obtained. Current GPU-based approaches need to load all the image data at a time prior to image processing. However, the current computer memory and GPU memory are limited, and are not big enough for loading the remote sensing image data which are always massive. Hence, current GPU-based image processing approaches cannot be directly applied in remote sensing image processing. Under this situation, this paper proposes a dual-parallel processing mechanism, which is based on GPU and POSIX thread technologies, in massive remote sensing image data processing. Experimental results illustrate that our methodology can not only deal with massive remote sensing image data, but also improve the processing efficiency greatly. View full abstract»

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    Development of an image processing software for medical thermogram analysis using a commercially available image processing system

    Fujimasa, I. ; Nakazawa, H. ; Miyasaka, E.
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

    Volume: 2
    DOI: 10.1109/IEMBS.1998.745603
    Publication Year: 1998 , Page(s): 956 - 958 vol.2

    IEEE Conference Publications

    The medical far infrared (FIR) imaging system has recently been modified to be more sensitive, rapid and cheap. Also, the image format for processing on a personal computer and output format from integrated circuit of a FIR sensor have gradually been standardized. The objective of the report is to develop an application software to analyze clinical FIR images. We developed new programs which are written as macro programs on commercially available image processing software and by which any digital image data with known data format becomes applicable to the standard FIR image analysis system. NIH Image was introduced as the image processing software. Sequences of calls or routines for medical oriented image processing were written with macro codes in Macintosh computers. We aimed to obtain the same image processing functions which had been developed for medical computer thermography systems. Every source FIR image was converted into temperature images (thermograms). Marking on the same temperature region (isotherm), making temperature profiles (line scan) and temperature histograms of region of interest (ROI), drawing temporal temperature difference images (dT thermogram), comparing the temperature difference of two ROI (asymmetry detection thermogram), and displaying thermography index thermogram (TI thermogram) have been developed View full abstract»

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    A model-based self-adaptive approach to image processing

    Nichols, J. ; Bapty, T.
    Engineering of Computer-Based Systems, 2004. Proceedings. 11th IEEE International Conference and Workshop on the

    DOI: 10.1109/ECBS.2004.1316732
    Publication Year: 2004 , Page(s): 456 - 461

    IEEE Conference Publications

    Implementing image-processing systems can require significant effort and resources due to information volume and algorithm complexity. Model integrated computing (MIC) based image processing systems show promise in supporting solutions of these complex problems. While MIC has contributed to the advancement of performing complex image processing tasks on parallel-embedded systems, it has not addressed a challenging class of algorithms that adapt the image-processing algorithm based on the information or state of the image processing system. This proposed effort addresses creating an adaptive image-processing environment based on MIC that allows solutions of complex image processing problems to be built and executed rapidly. This effort involves creating a new modeling representation for image processing adaptation mechanisms. The proposed MIC-based adaptive image-processing environment generates a solution given the modeling constraints and executes it on a number of hardware architectures. View full abstract»

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    A Survey on Skeletons in Digital Image Processing

    Lakshmi, J.K. ; Punithavalli, M.
    Digital Image Processing, 2009 International Conference on

    DOI: 10.1109/ICDIP.2009.21
    Publication Year: 2009 , Page(s): 260 - 269
    Cited by:  Papers (5)

    IEEE Conference Publications

    An image is digitized to convert it to a form which can be stored in a computer's memory or on some form of storage media such as a hard disk or CD-ROM. Once the image has been digitized, it can be operated upon by various image processing operations like enhancement, restoration, reconstruction, compression. An image defined in the "real world" is considered to be a function of two real variables, for example, a(x,y) with a as the amplitude (e.g. brightness) of the image at the real coordinate position (x,y). An image may be considered to contain sub-images sometimes referred to as regions-of-interest, ROIs, or simply regions. This concept reflects the fact that images frequently contain collections of objects each of which can be the basis for a region. In a sophisticated image processing system it should be possible to apply specific image processing operations to selected regions. Thus one part of an image (region) might be processed to suppress motion blur while another part might be processed to improve color rendition. For performing image processing operations ,the basic structure called skeleton is much more essential and highly adaptive tool. Skeletons are important shape descriptors in object representation and recognition. A skeleton that captures essential topology and shape information of the object in a simple form is extremely useful in solving various problems such as character recognition, 3D model matching and retrieval, and medical image analysis. Medical imaging systems. Due to its compact shape representation, image skeleton has been studied for a long time in computer vision, pattern recognition, and optical character recognition. It is a powerful tool for intermediate representation for a number of geometric operations on solid models. Many image processing applications depend on the skeletons. View full abstract»

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    Development of Image Processing System Based on DSP and FPGA

    Duan Jinghong ; Deng Yaling ; Liang Kun
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on

    DOI: 10.1109/ICEMI.2007.4350799
    Publication Year: 2007 , Page(s): 2-791 - 2-794
    Cited by:  Papers (4)  |  Patents (1)

    IEEE Conference Publications

    Real-time image processing system is widely used in many field, it is required to have high speed. In order to satisfy the demand, an image processing system structure based on DSP and FPFA is presented, that is DSP is used as advanced image processing unit and FPGA as logic unit for image sampling and display. The hardware configuration and working principle is introduced firstly, and then some key problems which include of image data stored mode, color space conversion and image transmission based on EDMA are described. Finally the program flowchart for developing image processing software is given. The developed system can acquire image, display image and make some image processing operations which include of geometry transform, orthographic transform, operations based on pixels, image compression and color space conversion. The developed system can meet the real-time requirement and has been used in our teaching. View full abstract»

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    A Novel Interactive Image Processing Approach for DICOM Medical Image Data

    Zhanli Hu ; Hairong Zheng ; Jianbao Gui
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

    DOI: 10.1109/BMEI.2009.5304840
    Publication Year: 2009 , Page(s): 1 - 4

    IEEE Conference Publications

    The development of more flexible and accurate medical image processing technique and platform is important requirement for clinical diagnosis and treatment. A new interactive image processing method is proposed in this work. Using this method, image smoothing, sharpening, histogram processing, pseudo-color processing, segmentation, reading, local amplification and measurement for medical image in DICOM format can be realized. Application of the method for processing human CT image data demonstrated the method is a convenient and flexible approach for medical image processing. This user-friendly image processing technique could be clinically useful to assist image analysis and diagnosis. View full abstract»

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    Pulse-domain digital image processing for vision chips employing low-voltage operation in deep-submicrometer technologies

    Kagawa, K. ; Yasuoka, K. ; Ng, D.C. ; Furumiya, T. ; Tokuda, T. ; Ohta, J. ; Nunoshita, M.
    Selected Topics in Quantum Electronics, IEEE Journal of

    Volume: 10 , Issue: 4
    DOI: 10.1109/JSTQE.2004.833888
    Publication Year: 2004 , Page(s): 816 - 828
    Cited by:  Papers (15)

    IEEE Journals & Magazines

    A new architecture for pixel-level parallel image processing in the pulse domain for CMOS vision chips has been developed. Image processing such as edge enhancement, edge detection, and blurring are realized based on suppression and promotion of digital pulses; the pixel value is represented by the frequency of digital pulses by use of a pulse-frequency modulation (PFM) photosensor or that with an in-pixel 1-bit analog-to-digital converter. The proposed architecture is suitable for low-voltage operation in deep-submicrometer technologies because the image processing is implemented by 1-bit fully digital circuits with a small number of logic gates. The principles of the image processing are addressed. We have fabricated a 16 × 16-pixel prototype vision chip. The relationship between illumination and the output pulse frequency is characterized. Step responses of the prototype vision chip for fundamental image processing operations show good agreement with those expected by correlation-based spatial filtering. A simple image binarization method specific to our architecture is also presented. The histograms of the intervals of the output pulses after image processing show multiple peaks, which indicates that averaging of the intervals is required for longer periods to achieve higher image-processing quality. To improve the linearity of pulse frequency dependence on illumination, usage of random clocks is discussed. View full abstract»

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