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Binary Image Restoration at Subpixel Resolution
D. Hitchcock and C. A. Glasbey
Vol. 53, No. 3 (Sep., 1997), pp. 1040-1053
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2533562
Page Count: 14
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Recovery of object boundaries to subpixel accuracy is possible from digital images if sufficient assumptions can be made. Subpixel restoration is of most relevance if an object is at the limit of resolution of a sensor, either being only a few pixels in size or having fine structure. A method is proposed for recovering a binary image from multilevel pixel values, which are modeled by a convolution of the true scene with a blurring kernel, together with additive noise. Small objects, such as immunogold-labeled particles in electron micrographs, are parameterized using Fourier descriptors, and a network of splines is used to parameterize the filament structure of fungal hyphae.
Biometrics © 1997 International Biometric Society