Retaining local image information in gamut mapping algorithms.
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.
Zolliker
Peter
P
Empa, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for Media Technology, CH-8600 Dübendorf, Switzerland. peter.zolliker@empa.ch
Simon
Klaus
K
D000465:Algorithms; D001185:Artificial Intelligence; D003116:Color; D003118:Color Perception / Q000502:physiology*; D003124:Colorimetry / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity