High-resolution histogram modification of color images

Jeffrey J. Rodriguez, Christopher C. Yang

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

For color images, histogram modification is usually applied to the quantized luminance component. However, the luminance quantization error can be significantly magnified by the transformation function, leading to distortion in the processed image. The propagation of the quantization error is analyzed theoretically to determine the worst-case error, The relationship between the number of luminance quantization levels and the output quantization error is derived. Experimental results with histogram equalization demonstrate that the use of a higher resolution histogram leads to reduced distortion as well as a“flatter” output histogram.

Original languageEnglish (US)
Pages (from-to)432-440
Number of pages9
JournalGraphical Models and Image Processing
Volume57
Issue number5
DOIs
StatePublished - Sep 1995

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Vision and Pattern Recognition
  • Geometry and Topology
  • Computer Graphics and Computer-Aided Design

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