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3-D band limitation by motion adaptive spatial filtering

3-D band limitation by motion adaptive spatial filtering

引用

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

作者： Hyun-Soo Kang Jong-Hun Kim Jung-Hee Lee Seong-Dae Kim Department of Electrical Engineering Visual Communications Laboratory Korea Advanced Institute of Science and Technology Daejeon South Korea Daewoo E and C Company Limited South Korea

ISBN: (纸本)0780317750

This paper proposes a 3-D filtering scheme which reduces temporal aliasing effectively and requires much less memory than conventional schemes in hardware implementation. Our 3-D filter is implemented in the form of a space-variant 2-D finite-duration impulse response (FIR) filter in the spatial domain with motion information. The filter requires only one frame and its motion vectors. The simulation result for the image sequence with constant motion informs explicitly that our filter has temporal de-aliasing property and 3-D band-limitation.< >

关键词： Adaptive filters Finite impulse response filter Information filtering Information filters Signal processing Noise reduction Interpolation visual communication Electronic mail Hardware

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Technology against vision architectures

Technology against vision architectures

引用

International conference on Massively Parallel Computing Systems

作者： B. Zavidovique IEF University of Paris XI Orsay France

Understanding what the problems are in robot-vision architecture, requires a better comparison of major features. But a zoology of vision machines is questioned when, aiming for a well informed architectural feature choice, a rapid presentation of technological trends in the field is proposed. Then an approach closer to physics prompts to a classification from a control point of view: it reveals some duality between operations and communications. A few visual operations are distinguished provided technology is not trailing behind. But emphasis should be put on communication networks, although they do not show any image processing specificity currently, and the conclusion addresses some limits in that respect.< >

关键词： image processing Zoology Communication system control Stress Communication networks Very large scale integration Application specific integrated circuits Morphology Assembly systems Robot vision systems

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Codec designs for image browsing

Codec designs for image browsing

引用

IEEE International conference on Multimedia Computing and Systems (ICMCS)

作者： Iyengar Panchanathan Multimedia Communications Research Laboratory Department of Electrical Engineering University of Ottawa Ottawa ONT Canada

We propose codec designs for image browsing. image/video browsing is an important requirement in many multimedia applications. In image browsing, a lower resolution version of the image is first viewed. Upon request, the resolution is further enhanced until an acceptable fidelity is obtained. Recently, many new codecs have been designed for image/video compression. However these codecs are not directly applicable for image browsing as they cannot interact with the user. In this paper, we propose a codec design based on Gabor decomposition which is well adapted for image browsing applications. However we note that the generic design can be implemented with any compression algorithm. Gabor decomposition is a promising approach for image browsing. The Gabor basis functions match the human visual profiles and hence result in better subjective quality compared to JPEG. For example, Gabor decomposition does not suffer from the blocking artifacts prevalent in JPEG-DCT. The proposed codec can achieve real-time performance, is simple and modular and hence can be implemented in VLSI.< >

关键词： Multimedia systems Data compression image coding Codecs image processing

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Compression of HDTV signals for low bit-rate transmission using motion compensated subband transform coding and a self-organization neural network

Compression of HDTV signals for low bit-rate transmission us...

引用

Data Compression conference (DCC)

作者： R. Bhaskaran S.C. Kwatra Department of Electrical Engineering University of Tolctlo and Eötvös Lárand University Toledo OH USA

The quality of visual communications has greatly improved with HDTV. Due to the advantages of digital communications, and the trend towards it, it is desirable to develop a cost effective digital codec for HDTV signals. One of the criteria in the transmission of digital signals via satellites is the transmission bandwidth which dictates the transmission costs. Apart from development of good compression schemes, due consideration should also be given to the ease of hardware implementation, which is crucial in deciding factors like processing delay and the level of encoder/decoder complexity. With the above mentioned factors in mind a cost-effective HDTV codec is proposed. Few US organizations have addressed the problem of HDTV distribution via communication satellites. The majority of efforts in the development of an HDTV codec have been aimed at the 100 to 140 Mbits/sec data rate. To facilitate cost effective satellite transmission, the DS3 rate of 45 Mbits/sec, is desirable. The purpose of the present research is to compress the HDTV signals to around 20 Mbits/sec so that 2 HDTV channels can be transmitted through the DS3 rate channel. To achieve this degree of compression a new scheme is proposed. First subband coding is used to decompose the image into different frequency bands. Next motion compensation is applied to the low band, and the resulting interframe difference is discrete cosine transform (DCT) coded. The high bands are also DCT coded. The DCT coefficients of the difference signal of the low band and the DCT coefficients of the high band are then vector quantized.< >

关键词： HDTV Discrete cosine transforms Costs Codecs image coding Satellites visual communication Digital communication Bandwidth Hardware

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A computational model of neural contour processing: figure-ground segregation and illusory contours

A computational model of neural contour processing: figure-g...

引用

Proceedings of the From Perception to Action conference

作者： F. Heitger R. von der Heydt O. Kubler Communication Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Neuroscience Johns Hopkins School of Medicine Baltimore MD USA

We present a computational model of contour processing that was suggested by neurophysiological recordings from the monkey visual cortex. The model employs convolutions and nonlinear operations, but no feedback loops. Contours are defined by the local maxima of the responses of a contour operator that sums a representation of contrast borders and a "grouping signal". The grouping consists in convolving a representation of "key points", such as T-junctions, corners, and line ends, with a set of orientation selective kernels, and a nonlinear pairing operation. The grouping scheme is selective according to whether the configuration of key points is consistent with the interpretation of occlusion. The resulting contour representation includes an indicator of figure ground direction. We show: that the model reproduces illusory contours in accurate agreement with perception; and generates representations of occluding contours on images of natural scenes that are more complete and less cluttered by spurious connections of foreground and background than those obtained by conventional edge detection operators.

关键词： Computational modeling Layout image edge detection Brain modeling communications technology Laboratories Electronic mail Convolution Feedback loop Kernel

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Digital image processing and visual communications Technologies in the Earth and Atmospheric Sciences II

Digital Image Processing and Visual Communications Technolog...

引用

Digital image processing and visual communications Technologies in the Earth and Atmospheric Sciences II

ISBN: (纸本)0819410209

This conference proceedings contains 23 papers. The topics discussed are earth imagery, remote sensing, geographical information systems, multispectral imagery, map databases, image databases, image storage and retrieval, visualization, environmental monitoring, forest monitoring, ocean monitoring, image processing, image analysis, neural network applications, feature extraction, computer vision, vision algorithms, and learning algorithms.

关键词： Remote sensing

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SYMMETRY-BASED image SEGMENTATION

SYMMETRY-BASED IMAGE SEGMENTATION

引用

conference on Video communications and PACS for Medical Applications

作者： CICCONI, P KUNT, M EPFL ECUBLENS SIGNAL PROC LABCH-1015 LAUSANNESWITZERLAND

ISBN: (纸本)0819412236

In this work, we present a technique which suggests the use of symmetry to reduce the redundancy in images. A symmetry-based image segmentation and coding scheme is described. A segmentation technique is analyzed, and applied on natural images, performing their efficient partition. In order to find symmetries in regions of any shape, the concept of axes of symmetry is generalized to skeletons of symmetry, dividing the regions into two symmetric subparts by the introduction of the Medial Axis Transformation of the regions. Each subpart of the regions is then linearly predicted with respect to the skeletons. An efficient coding strategy specifying the shape and the luminance of the regions is described. Results on natural images show that the described technique outperforms the more classical second generation image coding methods in terms of visual quality.

关键词： image segmentation image compression image quality image processing algorithms and systems visualization Algorithm development Error analysis Quantization image processing Spatial analysis

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HVS-Weight progressive image transmission using the lapped orthogonal transform

HVS-Weight progressive image transmission using the lapped o...

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1993 IEEE International conference on communications

作者： Queiroz, Ricardo L. Rao, K.R. Univ of Texas at Arlington Arlington TX United States

ISBN: (纸本)0780309510

Progressive transmission of images based on lapped orthogonal transform (LOT), adaptive classification and human visual sensitivity (HVS) weighting is proposed. HVS weighting for LOT is developed using a general technique that can be applied to any orthogonal transform. The method is compared with discrete cosine transform (DCT) based progressive image transmission (PIT). It is shown that the LOT based PIT yields subjectively improved images compared to those based on DCT.

关键词： image processing

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image-CODING FOR STORAGE AND TRANSMISSION BASED ON MORPHOLOGICAL SEGMENTATION

IMAGE-CODING FOR STORAGE AND TRANSMISSION BASED ON MORPHOLOG...

引用

conference on Video communications and PACS for Medical Applications

作者： TORRES, L SALEMBIER, P MARQUES, F HIERRO, P UPC ETSITDEPT SIGNAL THEORY & COMMUNBARCELONASPAIN

ISBN: (纸本)0819412236

The objective of the paper is to present a new object based image coding technique using morphological segmentation. These are the first results of a final objective of proposing a completely new coding/decoding scheme for storage and transmission applications based on Mathematical Morphology. The paper presents a new object based image coding algorithm that involves three main processing steps: segmentation, coding of contours and coding of the inside. The three fundamental coding steps of our approach work on a multiscale representation of the data. The coding of contours represents the shape and location of the region and is based on techniques relying on chain codes. The coding of inside consists in modeling the gray level function of the image and in filling each region with this model. Orthogonal polynomials are used for inside coding and bit allocation techniques are developed such that efficient compression rates are obtained. Several computer generated images are presented that show good visual results for a variety of different compression ratios. The techniques can also be applied to image sequences. Current research is under way to propose new coding techniques for both the contour and the inside coding using Mathematical Morphology.

关键词： image segmentation image compression image processing algorithms and systems Chromium image quality Feature extraction Mathematical morphology image processing Receivers visualization

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SIGNAL-ADAPTED TRANSFORM CODING OF SEQUENCES

SIGNAL-ADAPTED TRANSFORM CODING OF SEQUENCES

引用

Meeting on visual communications and image Communication 93

作者： MACQ, B COMES, S MERTES, JY QUELUZ, MP UNIV CATHOLIQUE LOUVAIN TELECOMMUN & TELEDETECT LABB-1348 LOUVAINBELGIUM

ISBN: (纸本)0819413690

In standard DCT coding schemes like MPEG, the sequences compression is achieved by motion compensation, transformation, quantization, and entropy coding. In this paper, we have followed the same path by adapting to the image signal the elements of the coding scheme. The motion compensation is achieved by a block-matching method, where the size of the blocks is adapted to the signal. Great attention has been paid to the relevance of the motion field. Combined with the motion compensation, the two fields of each frame are merged, taking into account the measured motion vectors, to compose a pseudo-progressive frame. The encoding is applied to this `motion-compensated progressive' frame. A wavelet decomposition is then applied on each (inter or intra) frame. Such a transform, intrinsically owning linear- phase and perfect reconstruction properties, has been optimized for maximizing a perceptually weighted coding gain. The wavelet coefficients are thereafter vector-quantized, in order to reach the maximum perceptual SNR : frequency weighting is taken into account. The relevance of the measured vector field allows a precise spatio-temporal quantization optimization. The vectors are entropy coded taking into account the remaining inter-band dependence, by an adapted entropy code. Results obtained from 1 Mbit/s to 8 Mbit/s are shown for moving sequences at the conference.

关键词： Motion estimation Motion measurement image compression Quantization Wavelets Binary data Linear filtering Optical filters Computer programming Signal to noise ratio

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