A robust framework for quality enhancement of aerial remote sensing images

Eerapu Karuna Kumari, Devikalyan Das, Shilpa Suresh, Shyam Lal, A. V. Narasimhadhan

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)362-374
Number of pages13
JournalInfrared Physics and Technology
Publication statusPublished - 09-2018

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics


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