Paper Info
Title
Applying Non-linear Compression to the Three-dimensional Gamut Mapping
Abstract
Gamut mapping is a technique to transform out-of-gamut colors to the inside of the output device's gamut. It is essential to develop effective mapping algorithms to realize WYSIWYG (What You See Is What You Get) color reproduction.(1) We had previously found that three-dimensional gamut mapping Is superior to the two-dimensional mapping, when we applied Mahalanobis distance as a color difference equation, such as BFD color difference formula.(2,3) However, in our previous experiments, a clipping method was used that maps all out-of-gamut colors to the surface of the gamut, and no change was made to colors inside the gamut. Since this method could possibly cause loss of gradation in an image, we had investigated non-linear compression for the three-dimensional gamut mapping in this study. The results of visual experiments indicated that preferred compression method depends on image contents. If the saturated colors that are out-of-gamut contain high frequency components, a certain degree of compression was needed. On the other hand, if those colors only have gradual change with low frequency components, clipping method was preferred.
Year
Venue
Keywords
1999
JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
three dimensional
Field
DocType
Volume
Computer vision,Compression (physics),Gamut,Nonlinear system,Computer science,Artificial intelligence
Conference
44
Issue
ISSN
Citations 
4
8750-9237
2
PageRank 
References 
Authors
0.50
0
2
Name
Order
Citations
PageRank
Naoya Katoh1519.55
Masahiko Ito220.50