Enhancement of multispectral images using histogram explosion

Phillip A. Mlsna, Jeffrey J. Rodriguez

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

3 Scopus citations


Enhancement of both multispectral and true-color images is often performed by histogram modification, usually by separately adjusting the color components within a selected color coordinate system. When preservation of certain perceptual qualities is important, a perceptually based coordinate system is employed. However, independent modification of the color components seldom results in full use of the RGB display gamut unless some color values are clipped at the RGB boundaries. Preserving perceptual attributes is sometimes less important than obtaining greater displayable color contrast. This is especially true for color composites derived from multispectral images, such as those obtained by remote sensing. `Histogram explosion' is a new, multivariate enhancement method able to exploit nearly the full RGB extent without causing clipping. It functions by deriving and adjusting a set of one-dimensional histograms which lie along rays emanating from a common point in RGB space. While not generally based upon a perceptual model, histogram explosion is capable of preserving original hue values when parameters are chosen properly. Wide flexibility in the algorithm's parameter choices allows much freedom in tailoring the enhancement process. A description of these parameter dependencies and an analysis of the computational complexity are presented.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsAndrew G. Tescher
PublisherSociety of Photo-Optical Instrumentation Engineers
Number of pages11
ISBN (Print)0819416223
StatePublished - 1994
EventApplications of Digital Image Processing XVII - San Diego, CA, USA
Duration: Jul 26 1994Jul 29 1994

Publication series

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


OtherApplications of Digital Image Processing XVII
CitySan Diego, CA, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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