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Publications of year 1981

Articles in journal or book chapters

  1. Robert G. Keys. Cubic convolution interpolation for digital image processing. IEEE Transactions on Acoustics, Speech, and Signal Processing, 29(6):1153-1160, December 1981. Keyword(s): Interpolation, Boundary conditions, Convolution, Digital images, Image converters, Image processing, Image sampling, Interpolation, Kernel, Sampling methods, Signal processing algorithms.
    Abstract: Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features which make it useful for image processing. The technique can be performed efficiently on a digital computer. The cubic convolution interpolation function converges uniformly to the function being interpolated as the sampling increment approaches zero. With the appropriate boundary conditions and constraints on the interpolation kernel, it can be shown that the order of accuracy of the cubic convolution method is between that of linear interpolation and that of cubic splines. A one-dimensional interpolation function is derived in this paper. A separable extension of this algorithm to two dimensions is applied to image data.

    @Article{keysTASSP1981CubicConvolutionInterpolation,
    author = {Keys, Robert G.},
    title = {Cubic convolution interpolation for digital image processing},
    journal = {IEEE Transactions on Acoustics, Speech, and Signal Processing},
    year = {1981},
    volume = {29},
    number = {6},
    pages = {1153-1160},
    month = dec,
    issn = {0096-3518},
    abstract = {Cubic convolution interpolation is a new technique for resampling discrete data. It has a number of desirable features which make it useful for image processing. The technique can be performed efficiently on a digital computer. The cubic convolution interpolation function converges uniformly to the function being interpolated as the sampling increment approaches zero. With the appropriate boundary conditions and constraints on the interpolation kernel, it can be shown that the order of accuracy of the cubic convolution method is between that of linear interpolation and that of cubic splines. A one-dimensional interpolation function is derived in this paper. A separable extension of this algorithm to two dimensions is applied to image data.},
    doi = {10.1109/TASSP.1981.1163711},
    file = {:keysTASSP1981CubicConvolutionInterpolation.pdf:PDF},
    keywords = {Interpolation,Boundary conditions;Convolution;Digital images;Image converters;Image processing;Image sampling;Interpolation;Kernel;Sampling methods;Signal processing algorithms},
    owner = {ofrey},
    pdf = {../../../docs/keysTASSP1981CubicConvolutionInterpolation.pdf},
    
    }
    


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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.




Last modified: Mon Feb 1 16:39:00 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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