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18 September 2012 Contrast enhancement and noise elimination using singular value decomposition for stereo imaging
Changwoo Ha, Gwanggil Jeon, Jechang Jeong
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Optical Engineering, Vol. 51, Issue 9, 090504 (September 2012). https://doi.org/10.1117/1.OE.51.9.090504
Abstract
A new stereoscopic satellite image enhancement method based on singular value decomposition (SVD) is presented. The proposed stereoscopic image enhancement technique consists of four steps; SVD based on image analysis, image enhancement, noise reduction, and tone consistency. The goal of this work is to enhance low-contrast stereo satellite images with noise elimination, and obtain identical luminance levels from slightly different luminance in stereo images. Experimental results show the proposed method improves contrast performance while maintaining the luminance continuity. It also exhibits less noise than conventional methods.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
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Changwoo Ha, Gwanggil Jeon, and Jechang Jeong "Contrast enhancement and noise elimination using singular value decomposition for stereo imaging," Optical Engineering 51(9), 090504 (18 September 2012). https://doi.org/10.1117/1.OE.51.9.090504
Published: 18 September 2012
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Cited by 7 scholarly publications.
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KEYWORDS
Image enhancement
Satellites
Satellite imaging
Earth observing sensors
Artificial intelligence
Denoising
Image contrast enhancement
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