Title :
Retaining Local Image Information in Gamut Mapping Algorithms
Author :
Zolliker, Peter ; Simon, Klaus
Author_Institution :
Lab. for Media Technol., Swiss Fed. Labs. for Mater. Testing & Res., Dubendorf
fDate :
3/1/2007 12:00:00 AM
Abstract :
Our topic is the potential of combining global gamut mapping with spatial methods to retain the percepted local image information in gamut mapping algorithms. The main goal is to recover the original local contrast between neighboring pixels in addition to the usual optimization of preserving lightness, saturation, and global contrast. Special emphasis is placed on avoiding artifacts introduced by the gamut mapping algorithm itself. We present an unsharp masking technique based on an edge-preserving smoothing algorithm allowing to avoid halo artifacts. The good performance of the presented approach is verified by a psycho-visual experiment using newspaper printing as a representative of a small destination gamut application. Furthermore, the improved mapping properties are documented with local mapping histograms
Keywords :
image colour analysis; smoothing methods; edge-preserving smoothing algorithm; global contrast; global gamut mapping algorithms; halo artifact avoidance; local image information perception; local mapping histogram; neighboring pixels; newspaper printing; psycho-visual experiment; spatial methods; unsharp masking technique; Color; Frequency; Helium; Histograms; Materials testing; Printing; Psychology; Shape; Smoothing methods; Statistics; Newspaper printing; psycho-visual tests; spatial gamut mapping; Algorithms; Artificial Intelligence; Color; Color Perception; Colorimetry; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2006.891346