Journal article
High-Resolution Histogram Modification of Color Images
Graphical models and image processing, v 57(5), pp 432-440
1995
Abstract
For color images, histogram modification is usually applied to the quantized luminance component. However, the luminance quantization error can be significantly magnified by the transformation function, leading to distortion in the processed image. The propagation of the quantization error is analyzed theoretically to determine the worst-case error, The relationship between the number of luminance quantization levels and the output quantization error is derived. Experimental results with histogram equalization demonstrate that the use of a higher resolution histogram leads to reduced distortion as well as a "flatter" output histogram.
Metrics
Details
- Title
- High-Resolution Histogram Modification of Color Images
- Creators
- Jeffrey J Rodriguez - University of ArizonaChristopher C Yang - University of Arizona
- Publication Details
- Graphical models and image processing, v 57(5), pp 432-440
- Publisher
- Elsevier
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:A1995UD38500006
- Scopus ID
- 2-s2.0-0029513013
- Other Identifier
- 991014878749104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Software Engineering