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检索条件"任意字段=Conference on Nonlinear Image Processing VIII"

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Edge-protection nonlinear filters for removing compression block artifacts and noise 8

Edge-protection nonlinear filters for removing compression b...

引用

conference on nonlinear image processing viii

作者： Liu, DB Agaian, S Noonan, JP Tufts Univ. (United States)

ISBN: (纸本)0819424374

JPEG is perhaps the most commonly used still-image standard due to its good compression rate, flexibility in choosing image quality and fast algorithm for implementation. In JPEG, the DCT is used for 8x8 block transforms. However the notorious block artifacts caused by the DCT are of great concern. In this article, we focus on the DCT and try different filters (linear and nonlinear filters) to smooth the annoying block boundaries which are very visible under a high compression rate. A new nonlinear filter is proposed which outperforms existing techniques. The results are demonstrated for images with a comparison of mean-square-errors (MSE). For a general application, the new filter is used to cancel gaussian noise added to an image and the performance is compared with that of other commonly used filters.

关键词： mean filter median filter discrete cosine transform (DCT) edge-dependent weighted-average filter mean-square-error (MSE) visual quality objective quality image coding

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Optimal filters from prior filters 8

Optimal filters from prior filters

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conference on nonlinear image processing viii

作者： Dougherty, ER Barrera, J Tomita, NS Texas A&M Univ. (United States) Univ. de Sao Paulo (Brazil)

ISBN: (纸本)0819424374

The present paper introduces a method for automatically designing optimal binary filters by beginning with a prior filter and then altering this filter in the presence of sample pairs of ideal and degraded image realizations. The technique includes as a special case the method of differencing used for digital documents and, when an appropriate prior filter is used, can significantly improve rile precision af filter estimation. Besides outlining design from prior filters and providing examples, the paper provides expressions for error of estimation.

关键词： Optimal filtering Error analysis image filtering Statistical analysis Digital filtering image processing Binary data Edge detection Logic Tin

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Structure-adaptive image filtering using trimmed mean filters 8

Structure-adaptive image filtering using trimmed mean filter...

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conference on nonlinear image processing viii

作者： Palenichka, RM Zinterhof, P National Academy of Sciences of Ukraine (Ukraine) Univ. Salzburg (Austria)

ISBN: (纸本)0819424374

In this paper, a structure-adaptive approach to the nonlinear image filtering is described. The adaptive procedure is based on selection of the most homogenous neighborhood region from several possible structuring regions by the principle of maximum a posteriori probability. Then, an optimal evaluation of the pixel value is performed involving pixels from the determined neighborhood region. Trimmed mean filters are used for the robust evaluation of local properties during estimation of object and background intensities when the noise has a mixed conditional distribution, e.g. normal distribution with outliers.

关键词： structure-adaptive filtering trimmed mean mathematical morphology structuring element structuring region fast recursive algorithm

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Enhancement of image edge sharpness and acutance 8

Enhancement of image edge sharpness and acutance

引用

conference on nonlinear image processing viii

作者： Das, A Rangayyan, RM Univ. of Calgary (Canada)

ISBN: (纸本)0819424374

We have recently proposed an objective measure of edge sharpness or acutance of a region of interest (ROI) in the image. As acutance is related to image sharpness, one possible approach to image enhancement is to apply enhancement techniques in such a way as to increase the acutance of the ROI. Then, we may expect the perceived sharpness of the ROI to be increased as a result. A new image sharpening method designed on the basis of acutance is proposed in this paper. In this method, one-dimensional operators are applied to sets of pixels along the normals at each boundary pixel of an ROI. It is shown that the method can improve sharpness without creating significant artifacts.

关键词： acutance image sharpness image quality region growing method image enhancement

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Wavelet-based multiresolution stochastic image models 8

Wavelet-based multiresolution stochastic image models

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conference on nonlinear image processing viii

作者： Zhang, J Wang, D Tran, QN Univ. of Wisconsin/Milwaukee (United States)

ISBN: (纸本)0819424374

In this paper, we describe a wavelet-based approach to multiresolution stochastic image modeling. The basic idea here is that a complex random field, e.g., one with long range and nonlinear spatial correlations, can be decomposed into several less complex random fields. This is done by defining a random field in each resolution level of a wavelet expansion. Texture synthesis experiments, performed by using wavelet AR (autoregressive) and RBF (radial basis function) models, have produced promising results. Both models are relatively simple in each resolution and are better than single (fine) resolution models in capturing long range correlations. In texture synthesis experiments, the RBF models, especially the non-causal model, provide good visual resemblance to the original for relatively complex textures.

关键词： Autoregressive models Wavelets Visual process modeling Stochastic processes image compression Visualization Distance measurement Magnetorheological finishing image processing image segmentation

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Chaotic signal processes and associated nonlinear filters 8

Chaotic signal processes and associated nonlinear filters

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conference on nonlinear image processing viii

作者： McCarty, RC McCarty and Associates (United States)

ISBN: (纸本)0819424374

A chaotic signal process is generated by use of a continuous but nowhere differentiable Weierstrass function as a force function in Duffing's second-order nonlinear differential equation. In the particular cases where Duffing's' equation represents the mechanical behavior of a simple pendulum where only the mass of the ''bob'' changes in time, an analytical solution is obtained by the use of Hammerstein integrals. In the more-complicated case where the mass of the ''bob'' and the length of the pendulum rod are both changing in time, the resulting solution is obtained numerically. In any detailed analysis of a chaotic signal process, nonlinear filters are used to determine the existence and nature of an attractor or repeller as discussed in(1). By a simple change of parametric values in the Weierstrass function, other chaotic signal processes are easily generated.

关键词： nonlinear filter morphology image mapping topological chaotic

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Adaptive region-based filtering of multiplicative noise 8

Adaptive region-based filtering of multiplicative noise

引用

conference on nonlinear image processing viii

作者： Das, A Rangayyan, RM Univ. of Calgary (Canada)

ISBN: (纸本)0819424374

A new adaptive-neighborhood restoration filter to restore images degraded by multiplicative noise is proposed. The filter uses statistics computed over adaptive-neighborhoods which are grown to include statistically stationary regions. Results of application to synthetic and natural images degraded by multiplicative noise show that the proposed method provides better noise removal than a related 3x3 neighborhood method without blurring edges.

关键词： multiplicative noise image restoration region growing method adaptive-neighborhood filtering

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Soft morphological image resizing 8

Soft morphological image resizing

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conference on nonlinear image processing viii

作者： Maltsev, PA Intermec Corp. (United States)

ISBN: (纸本)0819424374

One important problem in computer vision and image processing is image resizing. Current techniques are generally based on different interpolation methods. These methods are convenient but the downsampled or upsampled image will include new gray values which are not present in the original image. Soft morphological interpolation is a new technique for resampling discrete data. The soft morphological operations(1) are an alternative to the standard morphological operation. The generic description of hierarchical soft morphological transformations was done previously(2). The further development of soft morphological operations by a hierarchical structural system uses the relaxation of the requirement that the result of the operation must be the r-th largest or smallest value of the corresponding multiset, where r is an order Index of the internal hard center. We will assume that any reasonable integer value is acceptable. The purpose of this paper is to derive the soft morphological convolution and compare the results of this convolution with the cubic convolution and Gaussian pyramid.

关键词： soft morphology image resizing cubic convolution

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An edge-enhancing nonlinear filter for reducing multiplicative noise 8

An edge-enhancing nonlinear filter for reducing multiplicati...

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conference on nonlinear image processing viii

作者： Schulze, MA Perceptive Scientific Instruments Inc. League City TX United States

ISBN: (纸本)0819424374

This paper illustrates the design of a nonlinear filter for edge-enhancing smoothing of multiplicative noise using a morphology-based filter structure. This filter is called the Minimum Coefficient of Variation (MCV) filter. The coefficient of variation is the ratio of the standard deviation of a random process to its mean. For an image corrupted only by stationary multiplicative noise, the coefficient of variation is theoretically constant at every point, Estimates of the coefficient of variation indicate whether a region is approximately constant beneath the multiplicative noise or whether it contains significant image features. Regions containing edges or other image features yield higher estimates of the coefficient of variation than areas that are roughly constant. The MCV filter uses a morphological structure to direct low-pass filtering to act only over regions determined lo be most nearly constant by measuring the coefficient of variation. Examples of the use of the MCV filter are given on synthetic aperture radar (SAR) images of the earth, SAR images are computed by speckle, a predominantly multiplicative noise process, Therefore, the MCV filler is a good choice for reducing speckle without blurring edges, The MCV filter is useful for pre-processing in image analysis applications such as coastline detection in SAR images.

关键词： nonlinear filtering multiplicative noise edge enhancement synthetic aperture radar mathematical morphology

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Robustness of the pattern spectrum 8

Robustness of the pattern spectrum

引用

conference on nonlinear image processing viii

作者： Sand, FM Dougherty, ER TEXAS A&M UNIV TEES CTR APPL TECHNOLCOLLEGE STNTX 77843

ISBN: (纸本)0819424374

Morphological texture classification employs moments of the granulometric pattern spectrum. Classification depends on the statistical distributions of the grain size and shape. Recent work(1,2,3) has shown the power of using asymptotic expressions for the granulometric moments which leads to successful classification in terms of an underlying random image process. These methods depend, however, on the validity of the statistical model: robustness concerns the measure of how the results are affected by various departures from the assumed model. The model may specify a normal size distribution when in fact the grain sizes are Gamma distributed;it may specify the correct type of distribution but the wrong values of its parameters;it may specify that grains are non-overlapping when in fact some are overlapping. Investigations of the robustness of the pattern spectrum mean are presented under the indicated departures from the ideal model.

关键词： image processing Statistical modeling Error analysis Statistical analysis image classification Data modeling image filtering Chromium Failure analysis Optimal filtering

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