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检索条件"任意字段=Conference on Visual Communications and Image Processing 2005"

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image visual quality restoration by cancellation of the unmasked noise

Image visual quality restoration by cancellation of the unma...

引用

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

作者： B. Macq M. Mattavelli O. Van Calster E. Van der Plancke S. Comes W. Li Laboratoire deTélécommunications et Téléélédétection Université Catholique de Louvain Louvain-la-Neuve Belgium

The aim of image restoration is to find an estimate of the ideal image using a priori information about blur and/or noise and/or the ideal image. Classical criterion are minimum least square, minimum mean square error or maximum a posteriori probability. The choice of the criterion used to measure the estimation quality is crucial for the design of the restoration algorithm. The authors propose a new criterion based on a visual model: it is based on perceptual masking. Thereafter, they propose a new restoration algorithm dealing only with additive noise. The perceptual components of the image to restore which are corrupted by an additive noise above a visibility threshold are simply set to zero. Some results obtained for the post-processing of JPEG images are presented.< >

关键词： image restoration Noise cancellation Background noise Noise figure Algorithm design and analysis Additive noise Humans image reconstruction Least squares methods Signal to noise ratio

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A pel adaptive reduction of coding artifacts for MPEG video signals

A pel adaptive reduction of coding artifacts for MPEG video ...

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IEEE International conference on image processing

作者： Y. Nakajima H. Hori T. Kanoh Visual Communications Group KDD Research and Development Laboratories Ohara Saitama Japan

Proposes a pel adaptive image restoration algorithm for coded video signals, where ringing effects near sharp edges are smoothed out and blocking effects are removed without blurring edges at the decoder. The basic idea in this algorithm is that noise in block coded images is estimated from local statistics of image and quantization information and that each pixel data is estimated adaptively using linear least mean square error method. Since local mean and local variance for each pixel are the main calculation in the proposed algorithm, it is readily adaptable to real-time image processing. The simulation examples of processed images coded by MPEG are presented to demonstrate that a significant improvement in subjective quality has been achieved.< >

关键词： image coding Transform coding Decoding Video compression image restoration Error analysis Degradation image reconstruction Quantization Pixel

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Speech-assisted video processing: interpolation and low-bitrate coding

Speech-assisted video processing: interpolation and low-bitr...

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Asilomar conference on Signals, Systems & Computers

作者： Tsuhan Chen H.P. Graf Kuansan Wang AT and T Bell Laboratories Inc. Holmdel NJ USA

We utilize speech information to improve the quality of audio/visual communications, such as videotelephony, videoconferencing, and multimedia. In particular, marriage of speech processing and image processing can solve problems related to lip synchronization. Two main techniques proposed in this paper are: speech-assisted interpolation and speech-assisted coding of talking head video. Audio/video sequences are presented to demonstrate our techniques.< >

关键词： Interpolation Mouth image coding Head Speech coding Video coding Speech analysis Teleconferencing Speech processing Bit rate

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A relaxation algorithm for minimizing the L/sup 2/ reconstruction error in 2-D nonorthogonal subband coding

A relaxation algorithm for minimizing the L/sup 2/ reconstru...

引用

IEEE International conference on image processing

作者： P. Moulin Bell Communications Research Inc. Morristown NJ USA

We present a technique for improving the applicability of complete, nonorthogonal, multiresolution transforms to image coding. As is well known, the L/sup 2/ norm of the quantization error is not preserved by nonorthogonal transforms, so the L/sup 2/ reconstruction error may be unacceptably large. However, given the quantizers and synthesis filters, we show that this artifact can be eliminated by formulating the coding problem as that of minimizing the L/sup 2/ reconstruction error over the set of possible encoded images. This high-dimensional, discrete optimization problem is solved using a multiscale relaxation algorithm. Bounds on the coding gain over the standard coding technique are derived. Experiments using biorthogonal spline filters demonstrate appreciable SNR gains over the standard coding technique, and comparable visual improvements.< >

关键词： image coding image reconstruction Filter bank Finite impulse response filter image resolution Signal resolution Quantization Optimized production technology Discrete transforms Spline

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Segmentation based coding of textures using stochastic vector quantization

Segmentation based coding of textures using stochastic vecto...

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

作者： L. Torres J.R. Casas S. de Diego Department of Signal Theory and Communications Universitat Poliltècnica de Catalunya Barcelona Spain

In second generation image compression techniques the image to be compressed is first segmented. The pixels are divided into mutually exclusive spatial regions based on some criteria. After segmentation, the image consists of regions separated by contours. Then, the information is coded describing the shapes and interiors of the regions. The interiors of the regions are usually encoded using polynomials. The objective of this paper is to encode the interior of the regions by stochastic vector quantization techniques. If the segmentation process has been well defined and the obtained regions are homogeneous, then it is possible to design a specific codebook suited to the statistics of each region. The approach is to design the codebook according to some previously defined model for the regions of the image found in the segmentation process. If the approach is combined with efficient contour coding techniques, good visual results for high compression rates are obtained.< >

关键词： Stochastic processes Vector quantization image coding image segmentation Shape image generation Polynomials Bandwidth Statistics image communication

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3-D band limitation by motion adaptive spatial filtering

3-D band limitation by motion adaptive spatial filtering

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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

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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

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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...

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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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