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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/8949
Título

Space and frecuency variant image enhancement based on a Gabor representation

AutorCristóbal, Gabriel ; Navarro, Rafael
Palabras claveContrast enhancement
Fractal noise removal
Multiscale Gabor respresentation
Fecha de publicaciónmar-1994
EditorElsevier
CitaciónPattern Recognition Letters 15(3): 273-277 (1994)
ResumenIn this paper we present an image enhancement method to remove degradations due to large amounts of space and frequency variant fractal noise. Images degraded by fog are examples of such a situation. First, a pyramidal image representation has been applied, consisting of 4 × 4 gaborian channels in frequency and orientation plus a zero-frequency residual. Previously, a set of channels corresponding to a generic undegraded image prototype was computed. By using that prototype along with a generic mathematical model of the noise (i.e., brownian fractal) it is possible to perform a blind image enhancement. The enhancement process is recursively applied at the different pyramid levels. The method has been tested by merging 90% of a fractal cloud cover with 10% of an aerial image, illustrating how many details practically invisible in the foggy image become clearly visible.
Descripción5 pages, 2 figures.
Versión del editorhttp://dx.doi.org/10.1016/0167-8655(94)90059-0
URIhttp://hdl.handle.net/10261/8949
DOI10.1016/0167-8655(94)90059-0
ISSN0167-8655
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