Explosion of multidimensional image histograms

P. A. Mlsna, J. J. Rodríguez

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


Enhancement of multispectral and true-color images is frequently accomplished by histogram modification. The color components are generally separately adjusted within an appropriate, often perceptually based, color coordinate system. However, independent component modification is seldom able to exploit the full extent of the RGB gamut unless some color values are clipped at the RGB boundaries. Further improvement in color contrast is sometimes more important than preserving perceptual attributes. For example, color composites derived from multispectral images have little basis in human perception and thus need not be perceptually constrained. "Histogram explosion", a new concept for multivariate enhancement, enables the full RGB extent to be exploited without clipping. While the algorithm is not generally based upon a perceptual model, original hue values may be preserved with proper parameter choices. The paper presents details of the histogram explosion method, an analysis of its computational complexity, and some experimental results.

Original languageEnglish (US)
Article number413703
Pages (from-to)958-962
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - 1994
EventThe 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


Dive into the research topics of 'Explosion of multidimensional image histograms'. Together they form a unique fingerprint.

Cite this