Title :
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
fDate :
11/1/1994 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
