Superresolution image enhancement for a SIMD array processor

Image analysis – Image enhancement or restoration

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382302, 382278, 382276, 364807, 395800, G06K 940

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active

055352910

ABSTRACT:
A combination of image magnification and/or image zoom, superresolution processing techniques, and a parallel (SIMD) machine implementation achieve image enhancement and resolution that are better than diffraction-limited image enhancement and hence suitable for machine processing pattern recognition systems. One application is the separation of (normally) unresolved point source objects from background clutter and adjacent point objects that would, without superresolution processing, be indistinguishable. Furthermore, the real-time processing of the present invention allows the shapes of objects to be discerned at ranges two to four times greater than would normally be achievable.

REFERENCES:
patent: 4384273 (1983-05-01), Ackland et al.
patent: 4532548 (1985-07-01), Zwirn
patent: 4683496 (1987-07-01), Tom
patent: 4739474 (1988-04-01), Holsztynski
patent: 4783738 (1988-11-01), Li et al.
patent: 5173947 (1992-12-01), Chande et al.
patent: 5179714 (1993-01-01), Graybill
patent: 5253308 (1993-10-01), Johnson
Publication by M. I. Sezan & A. M. Tekalp titled "Survey of recent developments in digital image restoration," Optical Engineering vol. 29(5) pp. 393-404, published in May 1990.
Publication by M. A. Richards titled "Iterative Noncoherent Angular Superresolution", Proc IEEE pp. 100-105, published in Jun. 1988.
Publication by P. A. Jansson et al. titled "Resolution Enhancement of Spectra", Journal of the Optical Society of America, vol. 60(5), pp. 596-599, published in May 1970.
Publication by P. Jansson titled "Modern Constrained Nonlinear Methods" Deconvolution: with Applications in Spectroscopy, Chapt. 4 (academic Press), published in 1984.
Publication by B. R. Frieden titled "Restoring with Maximum Likelihood and Maximum Entropy", Journal of the Optical Society of America, vol. 62(4), pp. 511-518, published in Apr. 1972.
Publication by B. R. Frieden titled "Image restoration by discrete convolution of minimal length, " Journal of the Optical Society of America vol. 64(5) pp. 682-686, published in May 1974.
Publication by R. A. Gonsalves and H. M. Kao titled "Entropy-based algorithm for reducing artifacts in image restoration", Optical engineering, vol. 26(7), pp. 617-622, published in Jul. 1987.
Publication by S. F. Gull and G. J. Daniell titled "Image reconstruction from incomplete and noisy data", Nature, vol. 272, published in Apr. 20, 1978.
Publication by H. J. Trusell titled "The Relationship Between Image Restoration by the Maximum A Posteriori Method and a Maximum Entropy Method," IEEE Transactions on Acoustics, speech, and signal Processing, vol. ASSP-28(1) pp. 114-117, published in Feb. 1980.
Publication by S. F. Burch et al. titled "Image Restoration by a Powerful Maximum Entropy Method", Computer Vision, Graphics, and Image Processing vol. 23, pp. 113-128, published in 1983.
Publication by X. Zhuang et al. titled "The Principle of Maximum Entropy in Image Recovery", Image Recovery: Theory and Application, Chapter 5 (H. Stark ed.) (Academic Press) published in 1988.
Publication by E. Hecht and A. Zajac titled "Optics, " pp. 397-403 (Addison-Wesley), published in 1974.

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