A robust framework for quality enhancement of aerial remote sensing images

•Modified contrast enhancement method using PSO algorithm is proposed.•A robust framework is proposed for quality enhancement of aerial remote sensing images.•Contribution to state-of-the-art contrast enhancement method for aerial remote sensing images.•Our results are comparable with other state-of...

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Bibliographic Details
Published in:Infrared physics & technology Vol. 93; pp. 362 - 374
Main Authors: Karuna Kumari, Eerapu, Das, Devikalyan, Suresh, Shilpa, Lal, Shyam, Narasimhadhan, A.V.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.09.2018
Subjects:
Aerial images
Contrast enhancement
PSO algorithm, Framework
PSO algorithm, Framework
Aerial images
Contrast enhancement
ISSN:1350-4495, 1879-0275
Online Access:Get full text
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Summary:•Modified contrast enhancement method using PSO algorithm is proposed.•A robust framework is proposed for quality enhancement of aerial remote sensing images.•Contribution to state-of-the-art contrast enhancement method for aerial remote sensing images.•Our results are comparable with other state-of-the-art existing contrast enhancement method for aerial remote sensing images. This paper proposes a robust framework for quality restoration of remotely sensed aerial images. Proposed framework works in three steps: (1) Efficient color balancing and saturation adjustment, (2) Efficient color restoration, (3) Modified contrast enhancement using particle swarm optimization (PSO). In order to show the robustness, step-wise results of proposed framework is illustrated. Several aerial images from two publically available datasets are tested to support the robustness of the proposed framework over existing image quality restoration methods. The experimental results of proposed framework and other existing quality restoration methods are compared in terms of NIQMC, BIQME, MICHELSON, DE, EME and PIXDIST along with visual experimental results. Based on experimental results conducted on several aerial images suggest that the proposed framework is outperform over existing quality restoration methods.
ISSN:1350-4495
1879-0275
DOI:10.1016/j.infrared.2018.08.014