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Contrast enhancement of satellite image based on adaptive unsharp masking using wavelet transform
Author(s)
Date Issued
December 1, 2006
Type
Conference Paper
Abstract
This paper concerns with a method for unsharp masking for contrast enhancement of satellite image. We employ the nature of wavelet transform that separates the original image into low and high frequency sub-band images as low and high pass filter. Particularly, a number of high frequency sub-band images consist of horizontal, vertical, and diagonal coefficients that contain detail of information. Taking inverse wavelet transform of each sub-band image separately except low frequency one, we have each of high frequency information in horizontal, vertical, and diagonal image. All of them are scaled by the scaling factor in each one separately. Adaptive algorithm is implemented to results the suitable scaling factor to obtain the enhanced image corresponding with the given criterion based on variance of each area smooth and detail area. Experimental results show that our method performs well to high enhance in detail area and low in smooth area.
Citation
American Society for Photogrammetry and Remote Sensing Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006 Prospecting for Geospatial Information Integration, 1, 250-255, 2006