Paper
13 December 1976 The Pinned Karhunen Loeve Transform Of A Two-Dimensional Gauss-Markov Field
A. Zvi Meiri
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Abstract
We define a Gauss-Markov field over E2 oy a stochastic partial differential equation with space invariant coefficients. This model may be used as an approximation to pictorial and other two-dimensional data. When we apply it to block coding it has some interesting properties. The solution of an associated homogenous boundary value problem with the field data as boundary conditions defines a "pinning" function. The KLT of the data minus its pinning function is shown to be identical to the Fourier Sine Transform. Some properties of this PKLT as well as its relation to Jain's Fast KLT are discussed.
© (1976) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Zvi Meiri "The Pinned Karhunen Loeve Transform Of A Two-Dimensional Gauss-Markov Field", Proc. SPIE 0087, Advances in Image Transmission Techniques, (13 December 1976); https://doi.org/10.1117/12.954991
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Cited by 15 scholarly publications.
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KEYWORDS
Fourier transforms

Image transmission

Stochastic processes

Data modeling

Eye

Image processing

Bismuth

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