Effects of luminance quantization error on color image processing

Jeffrey J Rodriguez, Christopher C. Yang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A common approach to color image processing is to apply monochrome techniques to the quantized intensity component. However, the quantization error in the intermediate intensity image propagates to the final processed image. This can lead to significant distortion, depending on the input RGB values and on the particular image processing function being applied. A theoretical analysis of the worst-case quantization error is presented. Experimental results with histogram equalization demonstrate how the histogram resolution affects the performance.

Original languageEnglish (US)
Pages (from-to)850-853
Number of pages4
JournalIEEE Transactions on Image Processing
Volume3
Issue number6
DOIs
StatePublished - Nov 1994

Fingerprint

Color Image Processing
Color image processing
Luminance
Quantization
Histogram Equalization
Histogram
Image Processing
Theoretical Analysis
Image processing
Experimental Results
Demonstrate

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software
  • Electrical and Electronic Engineering
  • Theoretical Computer Science

Cite this

Effects of luminance quantization error on color image processing. / Rodriguez, Jeffrey J; Yang, Christopher C.

In: IEEE Transactions on Image Processing, Vol. 3, No. 6, 11.1994, p. 850-853.

Research output: Contribution to journalArticle

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