Journal article
Effects of luminance quantization error on color image processing
IEEE transactions on image processing, v 3(6), pp 850-854
Nov 1994
PMID: 18296252
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.< >
Metrics
Details
- Title
- Effects of luminance quantization error on color image processing
- Creators
- J.J Rodriguez - Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USAC.C Yang - Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
- Publication Details
- IEEE transactions on image processing, v 3(6), pp 850-854
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:A1994PV17600011
- Scopus ID
- 2-s2.0-0028550356
- Other Identifier
- 991014878069204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic