A unified Eigenfilter approach is proposed for determining the mean-square-optimal coefficients of the McClellan transformation. The approach applies to all filter shapes without the use of prior knowledge of the prop...
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A unified Eigenfilter approach is proposed for determining the mean-square-optimal coefficients of the McClellan transformation. The approach applies to all filter shapes without the use of prior knowledge of the properties of the coefficients. Several design examples for arbitrarily shaped and oriented 2-D fan, elliptical, and diamond filters are given to demonstrate the results achieved with this method. Comparisons with other recently published methods are made to demonstrate the advantages of our method.
作者：
Ford, GEElFallah, AICIPIC
Center for Image Processing and Integrated Computing University of California Davis Davis CA 95616
Most of the recent work on inhomogeneous diffusion in image filtering focuses on diffusing the isotope curve. We present a less familiar approach to the development of inhomogeneous diffusion algorithms in which the i...
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Most of the recent work on inhomogeneous diffusion in image filtering focuses on diffusing the isotope curve. We present a less familiar approach to the development of inhomogeneous diffusion algorithms in which the image is regarded as a surface in three-space. The magnitude of the surface normal controls a diffusion that evolves the image surface at a speed proportional to its mean curvature. A discrete algorithm to implement this proposed diffusion is introduced, and we show experimentally that the algorithm develops singularities that reveal, preserve, and enhance the underlying signal. If the input signal is an isolated noisy edge, this leads to complete noise removal and enhancement without affecting the edge locality. (C) 1997 John Wiley & Sons, Inc.
作者：
ALGAZI, VRKELLY, PLESTES, RRGraphics
Image and Vision Engineering Research Laboratory CIPIC Center for Image Processing Integrated Computing University of California Davis CA USA
Algorithms for preprocessing, global modeling and segmentation, local modeling and representation, and binary encoding of facsimile images are proposed, and their performance is examined. Some binary morphological ope...
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Algorithms for preprocessing, global modeling and segmentation, local modeling and representation, and binary encoding of facsimile images are proposed, and their performance is examined. Some binary morphological operations that can be used to improve the quality and increase the compressibility of binary images and the modeling of binary images are discussed. The techniques are incorporated into a set of comprehensive encoding schemes, the PCSE codes. Their effectiveness in compressing the International Telegraphy and Telephony Consultative Committee (CCITT) binary images is demonstrated. The PCSE code using preprocessing and color shrinking prior to encoding is shown to outperform the READ code by from 7 to 42% for the standard CCITT test images with a very small change in image quality.< >
作者：
FORD, GEESTES, RRCHEN, HCIPIC
Center for Image Processing and Integrated Computing University of California Davis Davis 95616 CA United States
In imageprocessing operations involving changes in the sampling grid, including increases or decreases in resolution, care must be taken to preserve image structure. Structure includes regions of high contrast, such ...
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We present a framework and a set of techniques for the analysis and display of three-dimensional experimental data or images. We assume that the data are available in the form of two-dimensional cross sections of the ...
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This paper proposes a new connectionist model for invariant object recognition. The model has four stages. The first stage obtains projections from the input image plane. The projection features can separate rotation ...
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image interpolation is an important image operation. It is commonly used in image enlargement to obtain a close-up view of the detail of an image. From sampling theory, an ideal low-pass filter can be used for image i...
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作者：
Chen, HongFord, Gary E.CIPIC
Center for Image Processing and Integrated Computing University of California DavisCA95616 United States
We propose a perceptual Wiener filter for image restoration, a linear space-variant filter which accounts for the human visual system response to image details and noise in the vicinity of an edge. This filter provide...
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In recent work, we have examined the performance of wavelet coders using a perceptually relevant image quality metric, the Picture Quality Scale (PQS). In that study, we considered some of the design options available...
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ISBN:
(纸本)0819424366
In recent work, we have examined the performance of wavelet coders using a perceptually relevant image quality metric, the Picture Quality Scale (PQS). In that study, we considered some of the design options available with respect to choice of wavelet basis, quantizer, and method for error-free encoding of the quantized coefficients, including the EZW methodology. A specific combination of these design options provides the best trade off between performance and PQS quality. Here, we extend this comparison by evaluating the performance of JPEG and the previously chosen optimal wavelet scheme, focusing principally on the high quality range.
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