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Reversible wavelet and spectral transforms for lossless compression of color images

IEEE International Conference on Image processing

作者： N. Strobel S.K. Mitra B.S. Manjunath Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

ISBN: (纸本)0818688211

A new lossless image compression method for progressive-resolution transmission of color images is proposed. It is based on spatial and spectral transforms. Reversible wavelet transforms are performed across the red, green, and blue color components first. Then adaptive spectral transforms are applied to the associated color subbands. Simulation results indicate that the proposed algorithm can achieve bit rates that are about 20% lower than results obtained with comparable lossless image compression techniques supporting progressive-resolution transmission.

关键词： Wavelet transforms Image coding Color Decorrelation signal resolution Propagation losses Image storage signal processing Image processing Laboratories

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Adaptive heterodyne filters (AHF) for detection and attenuation of narrow band signals

Adaptive heterodyne filters (AHF) for detection and attenuat...

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

作者： K.E. Nelson M.A. Soderstrand Electrical and Computer Engineering Department Digital Signal Processing and Communications Laboratory USA University of California Davis CA USA

A fixed filter may be converted into an adaptive filter with a single adaptation parameter through the use of a new adaptive heterodyne filter (AHF) concept in which the frequency of the heterodyne signal is adjusted thereby translating the entire filter transfer function in frequency. If the fixed filter is selected to be a very narrow-band band-pass filter, the new AHF concept can be used very effectively in the elimination of narrow band interference in wide-band communications or control systems. A specific example of the removal of a slow-moving time-varying mechanical resonance from the control signal for a flight control system demonstrates the power of the new AHF concept.

关键词： Adaptive filters Attenuation Band pass filters Frequency conversion Narrowband Communication system control Control systems Transfer functions Interference elimination Wideband

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An interference rejection approach to noise adjusted principal components transform

An interference rejection approach to noise adjusted princip...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Qian Du Remote Sensing Signal and Image processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

ISBN: (纸本)0780344030

A signal-to-noise ratio based PCA approach, called maximum noise fraction (MNF) transformation or noise adjusted principal components (NAPC) transform PCA was previously developed to arrange principal components in decreasing order of image quality rather than data variance as done for PCA. One of major disadvantages of this approach is that the noise covariance matrix must be estimated accurately from the data a priori. Another is that the factor of interference is not taken into account in MNF or NAPC where the effect of interference tends to be more serious than noise in hyperspectral images. In this paper, these two problems are addressed by considering the interference as a separate unwanted signal source from which an interference rejection approach to noise adjusted principal components transform (IRNAPC) can be developed in a similar manner that the NAPC was derived. It is shown that if interference is taken care of properly, IRNAPC significantly improves NAPC. Additionally, interference annihilation also improves the estimation of the noise covariance matrix.

关键词： signal to noise ratio Covariance matrix Principal component analysis Hyperspectral imaging multispectral imaging Object detection Interference suppression Remote sensing signal processing Image processing

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Unsupervised linear unmixing Kalman filtering approach to signature extraction and estimation for remotely sensed imagery

Unsupervised linear unmixing Kalman filtering approach to si...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： C. Brumbley Chein-I Chang Remote Sensing Signal and Image processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

Linear Unmixing Kalman Filtering (LUKF) approach was recently developed which incorporates the concept of linear unmixing into Kalman filtering so as to achieve signature abundance estimation, subpixel detection and classification for remotely sensed images. However, LUKF assumes a complete knowledge of the signature matrix used in the linear mixture model. In this paper, the LUKF is extended to an unsupervised LUKF where no knowledge about the signature matrix is required a priori. The unsupervised learning method proposed for the ULUKF is derived from a vector quantization-based clustering algorithm. It employs a nearest-neighbor rule to group potential signatures resident within an image scene into a class of distinct clusters whose centers represent different types of signatures. These clusters' centers are then used as if they were true signatures in the signature matrix LUKF. In order to evaluate the effectiveness of ULUKF, HYDICE images were used for assessment. The results produced by ULUKF show that subpixel detection and classification can be performed.

关键词： Kalman filters Nonlinear filters Filtering Vector quantization Clustering algorithms Iterative algorithms State estimation Remote sensing signal processing Image processing

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Image region extraction for content-based image retrieval 9

Image region extraction for content-based image retrieval

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9th European signal processing Conference, EUSIPCO 1998

作者： Androutsos, D. Plataniotis, K.N. Venetsanopoulos, A.N. Department of Electrical and Computer Engineering Digital Signal and Image Processing Laboratory University of Toronto 10 King's College Road TorontoONMoS3G4 Canada Ryerson Polytechnic University 350 Victoria Street Toronto ONM5B2K3 Canada

We present a technique for coarsely extracting the regions of natural color images which contain directional detail, e.g.. edges, texture, etc.. and smooth color regions. which we then use for image database indexing. As a measure of color activity, we use a perceptually modified distance measure based on the sum-of-Angles criterion. We then apply histogram thresholding techniques to separate the image into smooth color regions and busy regions where edge, texture and color activity exists. Color segmentation is performed on the smooth areas using HSV histogram techniques, to obtain image regions with one dominant average color. Database indices are then created from the busy regions using the directional detail histogram technique along with the color vectors representing the segmented smooth areas. Image retrieval is then performed using the histogram intersection method for the detailed areas and color vector distance measures are utilized for retrieval of the smooth color regions.

关键词： Color

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A Region-Based Representation of Images in MARS

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Journal of VLSI signal processing Systems for signal, Image, and Video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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Content-based colour image filters

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ELECTRONICS LETTERS 1997年第3期33卷 202-203页

作者： Plataniotis, KN Androutsos, D Venetsanopoulos, AN Department of Electrical and Computer Engineering Digital Signal/Image Processing Laboratory University of Toronto Toronto Canada

A nonlinear ranked-order filter based on a content model of similarity is proposed for colour image processing. Simulation results indicate that the new filter suppresses impulsive as well as Gaussian noise and preser... 详细信息

关键词： image processing colour

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A statistical tomographic approach to synthetic aperture radar image reconstruction

A statistical tomographic approach to synthetic aperture rad...

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IEEE International Conference on Image processing

作者： M. Cetin W.C. Karl Multi Dimensional Signal Processing Laboratory Department of Electrical and Computer Engineering Boston University Boston MA USA

We formulate the spotlight-mode synthetic aperture radar (SAR) imaging problem as a maximum a posteriori (MAP) estimation problem. Our statistical perspective offers an alternative to standard SAR processing techniques by incorporating prior knowledge about either the data quality or the underlying reflectivity function. In our formulation we consider exploiting the similarity between computer assisted tomography (CAT) and spotlight-mode SAR, which was first exposed by Munson et al. (1983). We present the effectiveness of the proposed approach by imagery formed from simulated spotlight-mode SAR data.

关键词： Tomography Synthetic aperture radar Image reconstruction Reflectivity Chirp Radar imaging signal processing algorithms Geometry multidimensional signal processing Radar signal processing

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Temporal prediction of video sequences using an image warping technique based on color segmentation 9th

Temporal prediction of video sequences using an image warpin...

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9th International Conference on Image Analysis and processing, ICIAP 1997

作者： Herodotou, N. Venetsanopoulos, A.N. Digital Signal and Image Processing Laboratory Department of Electrical and Computer Engineering University of Toronto 10 King's College Road TorontoONM5S 3G4 Canada

ISBN: (纸本)3540635076

An image warping technique based on segmented regions is introduced for the temporal prediction of videophone-type sequences. At the encoder, a set of control points are determined from the previous frame and their corresponding best matched points are determined from the current frame. The selection process of these points is achieved by segmenting the previous frame into different regions using a color segmentation technique based on a recursive histogramming approach and the control points are subsequently chosen along the region boundaries. The spatial offset of these points between the previous and current frame are represented as motion vectors. The facial area is intraframe encoded to avoid distortions of the facial features which convey critical information. At the decoder, the same segmentation and control point selection algorithm is used along with the motion vectors in order to find the region boundaries of the predicted frame. The facial area is decoded and an affine transformation is finally used to determine the remaining regions and form the predicted frame. This technique produces results that are free from blocking artifacts as in the conventional block matching method, with only a moderate increase in computational complexity. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Decoding

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Adaptive LMS delay measurement in dual blood volume pulse signals for non-invasive monitoring [photoplethysmography]

Adaptive LMS delay measurement in dual blood volume pulse si...

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Southern Biomedical engineering Conference

作者： A.B. Barreto C.D. Aguilar E.E. Jakubzick Digital Signal Processing Laboratory Department of Electrical & Computer Engineering Florida International University Miami FL USA

The performance of two adaptive algorithms, the LMS and the adaptive delay algorithm, for measuring the actual delay between two blood volume pulse (BVP) signals is studied. Results are obtained from an experimental setup examined with several test signals as well as pairs of BVP signals for a subject's three different cardiovascular conditions.

关键词： Pulse measurements Least squares approximation Volume measurement Blood Monitoring Delay estimation signal processing Cardiology Fingers Adaptive systems

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