Noise removal and real-time detail enhancement of high-dynamic-range infrared images with time consistency

Frederic Garcia, Cedric Schockaert, Bruno Mirbach

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents a noise removal and image detail enhancement method that accounts for the limitations on human's perception to effectively visualize high-dynamic-range (HDR) infrared (IR) images. In order to represent real world scenes, IR images use to be represented by a HDR that generally exceeds the working range of common display devices (8 bits). Therefore, an effective HDR mapping without losing the perceptibility of details is needed. To do so, we introduce the use of two guided filters (GF) to generate an accurate base and detail image component. A plausibility mask is also generated from the combination of the linear coefficients that result from each GF; an indicator of the spatial detail that enables to identify those regions that are prominent to present noise in the detail image component. Finally, we filter the working range of the HDR along time to avoid global brightness fluctuations in the final 8 bit data representation, which results from combining both detail and base image components using a local adaptive gamma correction (LAGC). The last has been designed according to the human vision characteristics. The experimental evaluation shows that the proposed approach significantly enhances image details in addition to improving the contrast of the entire image. Finally, the high performance of the proposed approach makes it suitable for real word applications.

Original languageEnglish
Title of host publicationTwelfth International Conference on Quality Control by Artificial Vision
EditorsFabrice Meriaudeau, Olivier Aubreton
PublisherSPIE
ISBN (Electronic)9781628416992
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event12th International Conference on Quality Control by Artificial Vision - Le Creusot, France
Duration: 3 Jun 20155 Jun 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9534
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference12th International Conference on Quality Control by Artificial Vision
Country/TerritoryFrance
CityLe Creusot
Period3/06/155/06/15

Keywords

  • Noise removal
  • contrast enhancement
  • detail enhancement
  • high-dynamic-range
  • human perception
  • in- frared images
  • time filtering

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