Contrast enhancement algorithm considering surrounding information by illumination image

Ki Sun Song, Hee Kang, Moon Gi Kang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We propose a contrast enhancement algorithm considering surrounding information by illumination image. Conventional contrast enhancement techniques can be classified as a retinex-based method and a tone mapping function-based method. However, many retinex methods suffer from high-computational costs or halo artifacts. To cope with these problems, efficient edge-preserving smoothing methods have been researched. Tone mapping function-based methods are limited in terms of enhancement since they are applied without considering surrounding information. To solve these problems, we estimate an illumination image with local adaptive smoothness, and then utilize it as surrounding information. The local adaptive smoothness is calculated by using illumination image properties and an edge-adaptive filter based on the just noticeable difference model. Additionally, we employ a resizing method instead of a blur kernel to reduce the computational cost of illumination estimation. The estimated illumination image is incorporated with the tone mapping function to address the limitations of the tone mapping function-based method. With this approach, the amount of local contrast enhancement is increased. Experimental results show that the proposed algorithm enhances both global and local contrasts and produces better performance in objective evaluation metrics while preventing a halo artifact.

Original languageEnglish
Article number14270
JournalJournal of Electronic Imaging
Volume23
Issue number5
DOIs
Publication statusPublished - 2014 Sep 1

Fingerprint

Lighting
illumination
augmentation
artifacts
halos
costs
adaptive filters
Adaptive filters
smoothing
preserving
Costs
evaluation
estimates

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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Contrast enhancement algorithm considering surrounding information by illumination image. / Song, Ki Sun; Kang, Hee; Kang, Moon Gi.

In: Journal of Electronic Imaging, Vol. 23, No. 5, 14270, 01.09.2014.

Research output: Contribution to journalArticle

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