Effects of luminance quantization error on color image processing

Author

Rodriguez, Jeffrey J. ; Yang, Christopher C.

Author_Institution

Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA

Volume

3

Issue

6

fYear

1994

fDate

11/1/1994 12:00:00 AM

Firstpage

850

Lastpage

854

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

Keywords

brightness; error analysis; image coding; image colour analysis; image resolution; quantisation (signal); color image processing; encoding; experimental results; histogram equalization; histogram resolution; image analysis; image distortion; image processing function; input RGB values; luminance quantization error; monochrome techniques; performance; quantized intensity component; worst-case quantization error; Color; Computer errors; Filtering; Histograms; Image edge detection; Image processing; Image restoration; Pixel; Quantization; Radiography;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.336254

Filename

336254