Effects of Luminance Quantization Error on Color Image Processing

Jeffrey J. Rodríguez, Christopher C. Yang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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)850-854
Number of pages5
JournalIEEE Transactions on Image Processing
Issue number6
StatePublished - Nov 1994

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design


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