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IEEE International Symposium on Intelligent Signal processing and Communication Systems (ISPACS)

作者： David Wu Damian M. Tan Hong Ren Wu School of Electrical & Computer Engineering Royal Melbourne Institute of Technology Melbourne VIC Australia

A method of encoding digital medical mammograms is presented in this paper. Based on the JPEG2000 coding framework and embedded with an advanced perceptual distortion measure, the proposed coder identifies and removes visually insignificant/irrelevant information, so as to achieve perceptually lossless quality. Compared with the state-of-the-art JPEG compliant LOCO lossless coder and JPEG2000 lossless coder, current results have shown compression ratio gains in bit-rate without any loss of visual fidelity

关键词： image coding Biomedical imaging Digital arithmetic Medical diagnostic imaging Transform coding Distortion measurement Humans Breast Digital signal processing Biomedical engineering

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Robustness of a Perceptually Lossless Medical image Coder: Interpolation

Robustness of a Perceptually Lossless Medical Image Coder: I...

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IEEE International Symposium on Intelligent Signal processing and Communication Systems (ISPACS)

作者： Shan Chai David Wu Damian M. Tan Hong Ren Wu School of Electrical & Computer Engineering Royal Melbourne Institute of Technology Melbourne VIC Australia

Perceptually lossless medical image coding is an alternative for compressing medical images. It provides a solution to the challenge of delivering clinically critical information in the shortest time possible. In this paper, an investigation of the robustness of the perceptually lossless image coder is carried out by applying bilinear, biquadratic and bicubic standard and centered B-spline interpolation filters. In order to evaluate the visual performance, a subjective assessment was conducted consisting of 30 medical images and 6 image processing experts. Here, the perceptually lossless medical image coder was compared to the state-of-the-art JPEG-LS compliant LOCO and NLOCO image coders. Current results have shown that overall, there were no perceivable differences of statistical significance when the medical images were enlarged by a factor of 2

关键词： Robustness Biomedical imaging Interpolation image coding Medical diagnostic imaging Spline Compression algorithms image processing Magnetic resonance imaging Signal processing algorithms

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Intelligent color imaging

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Information Display 2006年第9期22卷 34-34页

作者： Kotera, Hiroaki Chiba University Japan

With the 600th anniversary of Johann Gutenberg's birth in 2000 A.D., we should look back at the historical significance of letterpress technology and take a step forward into the new age of color imaging. Currently, digital-imaging technology plays a leading role in visual communications, but meets severe challenges to satisfy human vision. It is essential to consider what human vision "sees" in order to capture, store, transmit, and reproduce a truly realistic image just as human vision. Advances not only in high-precision and high-definition digital media but also in intelligent image-processing technologies will be helpful in producing more aesthetic and pleasant imaging. This paper briefly introduces "intelligent" processing towards that goal by using region-based spatially variant, and scene-referred approaches.

关键词： Color image processing

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Automated Assembly Problem Using an FFT Based Matching Approach

Automated Assembly Problem Using an FFT Based Matching Appro...

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IEEE Signal processing and communications Applications (SIU)

作者： Sagiroglu Ercil Mühendislik ve Doğa Bilimleri Fakültesi Sabanci Üniversitesi Istanbul Turkey

The puzzle assembly problem has many application areas such as restoration and reconstruction of archeological findings, repairing of broken objects, solving jigsaw type puzzles, molecular docking problem, etc. The puzzle pieces usually include not only geometrical shape information but also visual information such as texture, color, and continuity of lines. This paper presents a new approach to the puzzle assembly problem that is based on using textural features and geometrical constraints. The texture of a band outside the border of pieces is predicted by inpainting and texture synthesis methods. Feature values are derived from these original and predicted images of pieces. An affinity measure of corresponding pieces is defined and alignment of the puzzle pieces is carried out using an FFT based image registration technique. The optimization of total affinity gives the best assembly of puzzle. Experimental results are presented on real and artificial data sets

关键词： Assembly image restoration image reconstruction Shape image registration SPICE

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A New Filter for the Removal of Impulsive Noise in Digital images

A New Filter for the Removal of Impulsive Noise in Digital I...

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IEEE Signal processing and communications Applications (SIU)

作者： Civicioglu Alci Uçak Elektrik-Elektronik Bölüimü Sivil Havacilik Yüksekokulu Erciyes Üniversitesi Kayseri Turkey Elektrik-Elektronik Bölüimü Müihendislik Fakültesi Erciyes Üniversitesi Kayseri Turkey

In this paper, a new filter, which can be used at the removal of impulsive noise in digital images, has been introduced. The impulsive noise suppression success of the proposed filter has been tested on the Tiger and Peppers test images which were corrupted by impulsive noise at various noise densities ranging from 20% to 80% with an increment step of 20% and the performance of the proposed filter has been compared with the performance of 5 of the filters that were introduced in the literature and are highly appreciated. The simulation results show that the proposed filter achieves noise suppression and detail preservation very well even when the images are highly distorted and the restoration performance of the proposed filter is higher than those of the comparison filters aspect of both visual perception and image quantitative measures.

关键词： Digital filters Digital images Testing Performance evaluation image restoration Signal restoration visual perception Distortion measurement Noise measurement PSNR

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2006 IEEE International Symposium on Circuits and Systems (IEEE Cat. No. 06CH37717C)

2006 IEEE International Symposium on Circuits and Systems (I...

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IEEE International Symposium on Circuits and Systems (ISCAS)

The following topics are dealt with: arithmetic circuits; ultra-low voltage VLSI; processors; amplifiers; wireless circuits and systems; Nyquist DACs; adaptive signal processing; bio-inspired networks and biomedical applications; communication system architecture; imagers; chaotic circuits; power electronic circuits; cryptography; routing and interconnect; video processing; MIMO circuits and systems; analog circuits; circuit theory; multimedia communications; visual signal processing; FPGA applications; bandgap references; oversampling converters; FIR digital filters; medical interfacing system; modern power systems; neural networks; power converter control; acoustic and wireless sensors; memory design; ultra low-power circuits; nanoelectronics and gigascale systems; video over networks; multimedia watermarking and data hiding; multiplier design; nonlinear oscillators; image and video coding; audio and speech processing; wireline communications; biomedical signal and image processing; hardware-software codesign; bifurcation analysis of nonlinear circuits and systems; voltage and current references; phase locked loops; voltage controlled oscillators; and neuroprosthetic devices

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Nonlinear image Contrast Enhancement Based on Munsell's Scale

Nonlinear Image Contrast Enhancement Based on Munsell's Scal...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： S.C. Matz R.J.P. de Figueiredo Boeing Aerospace Company Seal Beach CA USA Laboratory for Intelligent Signal Processing & Communications University of California Irvine Irvine CA USA

Contrast is a measure of the variation in intensity or gray value in a specified region of an image. The region can be most or all of the image, giving rise to a global concept of contrast. The region might, on the other hand, be a small window in which case the concept of contrast is a locally defined expression. In this work, we introduce a nonlinear local contrast enhancement method. This method utilizes the Munsell value scale which is based upon human visual perception. Use of the Munsell value scale allows for the partitioning of the gray scale into ten discrete subintervals. A contrast enhancement function then thresholds the gray values in a subinterval in a smooth manner about a locally computed quantity called the mean edge gray value. By enhancing the contrast in this way the original shades of gray are preserved tuned to human perception

关键词： Histograms Humans Seals Signal processing visual perception Iterative methods Coordinate measuring machines

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Task Estimation Using Latent Semantic Analysis of visual Scenes and Spoken Words

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ELECTRONICS AND communications IN JAPAN 2014年第6期97卷 33-42页

作者： Kimura, Masashi Sawada, Shinta Iribe, Yurie Katsurada, Kouichi Nitta, Tsuneo Toyohashi Univ Technol Toyohashi Aichi Japan Toyohashi Univ Technol Informat & Media Ctr Toyohashi Aichi Japan

In this paper, we propose a task estimation method based on multiple subspaces extracted from multimodal information of image objects in visual scenes and spoken words in dialogue appearing in the same task. The multiple subspaces are obtained by using latent semantic analysis (LSA). In the proposed method, a task vector composed of spoken words and the frequencies of image-object appearances are extracted first, and then similarities among the input task vector and reference subspaces of different tasks are compared. Experiments are conducted on the identification of game tasks. The experimental results show that the proposed method with multimodal information outperforms the method in which only the single modality of image or spoken dialogue is applied. The proposed method achieves accurate performance even if less spoken dialogue is applied.

关键词： multimodal processing latent semantic analysis task estimation

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A Fuzzy Complement Edge Operator

A Fuzzy Complement Edge Operator

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International Conference on Advanced Computing and communications (ADCOM)

作者： T.M. Amarunnishad V. K. Govindan Abraham T. Mathew Electrical Engineering Department National Institute of Technology Calicut Kerala India Computer Engineering Department National Institute of Technology Calicut Kerala India

A fuzzy complement edge operator has been developed based on the Yager involutive fuzzy complements. The proposed edge operator is validated with a recently available fuzzy edge operator on the basis of the results of the well-known Canny edge operator. The edge operator has been tested with test images of size 256x256 and found to be superior with larger values of edge pixels and better visual quality in edge images.

关键词： image edge detection Pixel image processing Testing Fuzzy logic PSNR Distortion measurement Brightness image coding Feature extraction

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Introduction to modeling an imaging system with human detection of artifacts

Introduction to modeling an imaging system with human detect...

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IEEE Workshop on Microelectronics and Electron Devices, WMED

作者： V. Sukumar D. Warner P. Doherty H. Hess K. Noren S. Krone Micron Technology Inc. Boise ID USA Microelectronics Research and Communications Institute University of Idaho Moscow ID USA Department of Mathematics University of Idaho Moscow ID USA

This paper introduces a mathematical model to help identify defects for any imaging system. These defects become detectable when the combined information presented by an imaging system exceeds the perception threshold of a human visual system. These models are being developed under certain simplifying assumptions which are presented in the course of the paper

关键词： Humans Optical noise Optical sensors Optical imaging Optical signal processing image quality Semiconductor device modeling image processing visual system Mathematical model

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