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  • 1
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    Aliasing as noise - A quantitative and qualitative assessment (1993)
    In:  Other Sources
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    Publication Date: 2019-06-28
    Description: We present a model-based argument that, for the purposes of system design and digital image processing, aliasing should be treated as signal-dependent additive noise. By using a computational simulation based on this model, we process (high resolution images of) natural scenes in a way which enables the 'aliased component' of the reconstructed image to be isolated unambiguously. We demonstrate that our model-based argument leads naturally to system design metrics which quantify the extent of aliasing. And, by illustrating several aliased component images, we provide a qualitative assessment of aliasing as noise.
    Keywords: CYBERNETICS
    Type: In: Visual information processing II; Proceedings of the Meeting, Orlando, FL, Apr. 14-16, 1993 (A93-53022 23-63); p. 2-13.
    Format: text
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  • 2
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    Estimating the probability of failure when testing reveals no failures (1992)
    In:  Other Sources
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    Publication Date: 2019-07-12
    Description: Formulas for estimating the probability of failure when testing reveals no errors are introduced. These formulas incorporate random testing results, information about the input distribution, and prior assumptions about the probability of failure of the software. The formulas are not restricted to equally likely input distributions, and the probability of failure estimate can be adjusted when assumptions about the input distribution change. The formulas are based on a discrete sample space statistical model of software and include Bayesian prior assumptions. Reusable software and software in life-critical applications are particularly appropriate candidates for this type of analysis.
    Keywords: QUALITY ASSURANCE AND RELIABILITY
    Type: IEEE Transactions on Software Engineering (ISSN 0098-5589); 18; 33-43
    Format: text
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  • 3
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    Edge detection - Image-plane versus digital processing (1987)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: To optimize edge detection with the familiar Laplacian-of-Gaussian operator, it has become common to implement this operator with a large digital convolution mask followed by some interpolation of the processed data to determine the zero crossings that locate edges. It is generally recognized that this large mask causes substantial blurring of fine detail. It is shown that the spatial detail can be improved by a factor of about four with either the Wiener-Laplacian-of-Gaussian filter or an image-plane processor. The Wiener-Laplacian-of-Gaussian filter minimizes the image-gathering degradations if the scene statistics are at least approximately known and also serves as an interpolator to determine the desired zero crossings directly. The image-plane processor forms the Laplacian-of-Gaussian response by properly combining the optical design of the image-gathering system with a minimal three-by-three lateral-inhibitory processing mask. This approach, which is suggested by Marr's model of early processing in human vision, also reduces data processing by about two orders of magnitude and data transmission by up to an order of magnitude.
    Keywords: CYBERNETICS
    Type: Intelligent robots and computer vision; Oct 28, 1986 - Oct 31, 1986; Cambridge, MA; United States
    Format: text
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  • 4
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    Digital image gathering and minimum mean-square error restoration (1990)
    In:  Other Sources
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    Publication Date: 2019-08-28
    Description: Most digital image restoration algorithms are inherently incomplete because they are conditioned on a discrete-input, discrete-output model which only accounts for blurring during image gathering and additive noise. For those restoration applications where sampling and reconstruction are important, the restoration algorithm should be based on a more comprehensive end-to-end model which also accounts for the potentially important noiselike effects of aliasing and the low-pass filtering effects of interpolative reconstruction. It is demonstrated that although the mathematics of this more comprehensive model is more complex, the increase in complexity is not so great as to prevent a complete development and analysis of the associated minimum mean-square error (Wiener) restoration filter.
    Keywords: CYBERNETICS
    Type: Visual Communications and Image Processing ''90; Oct 01, 1990 - Oct 04, 1990; Lausanne; Switzerland
    Format: text
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