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Optical Engineering

Remote sensing image enhancement based on singular value decomposition
Author(s): Changwoo Ha; Wonkyun Kim; Jechang Jeong
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Paper Abstract

A satellite image enhancement method based on singular value decomposition (SVD) is presented. The proposed method consists mainly of four steps: image decomposition, adjustable contrast enhancement, noise reduction, and image composition. The method decomposes an image into its singular values, from which the luminance information can be obtained using SVD. In turn, adjustable contrast enhancement is applied by changing the singular values, which are controlled by characteristic-based contrast-level parameters. In the noise reduction process, the high-frequency elements, such as noise, are removed using rank approximation. In the final image composition process, the proposed algorithm combines color and luminance components in order to preserve color consistency. Experimental results show that the proposed scheme has less noise than the conventional methods and improves contrast performance while preserving details.

Paper Details

Date Published: 1 August 2013
PDF: 11 pages
Opt. Eng. 52(8) 083101 doi: 10.1117/1.OE.52.8.083101
Published in: Optical Engineering Volume 52, Issue 8
Show Author Affiliations
Changwoo Ha, Hanyang Univ. (Korea, Republic of)
Wonkyun Kim, Hanyang Univ. (Korea, Republic of)
Jechang Jeong, Hanyang Univ. (Korea, Republic of)

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