Extended Neighbourhood Filter for LDR Displays

P. Sijin Felix, Joshin John Mathew, Akshay Maan, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visual preservation and reproduction of subtle and feeble scene details is challenging during conversion from Hyper-spectral Image (HSI) to Low Dynamic Range (LDR) color images due to poor scene area to pixel density ratio, where a large geographical plane is mapped to a single pixel. This results in an averaging effect or a partial volume effect that affects the visual distinction of fine subtle details. Secondly, HSI data reduction to LDR color image involves sub-band averaging which again affects details distinction, especially structures of feeble strength. The proposed approach addresses this issue and improves the details in the scene for preservation and enhancement by modifying an existing HSI to LDR color image conversion method. An interim, detail enhancement stage is introduced. The results show a clear improvement in visual content reproduction and the numerical quantification also agrees to the same. The results are compared using three data sets and two other methods including the original method being modified.

Original languageEnglish
Title of host publication2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages610-613
Number of pages4
ISBN (Electronic)9781728127880
DOIs
Publication statusPublished - Aug 2019
Event62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019 - Dallas, United States
Duration: Aug 4 2019Aug 7 2019

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2019-August
ISSN (Print)1548-3746

Conference

Conference62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019
CountryUnited States
CityDallas
Period8/4/198/7/19

Keywords

  • Bilateral Filter
  • Extended Neighborhood Filter
  • High Dynamic Range
  • Hyperspectral Image Color Visualization
  • Image Enhancement

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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