3D unsharp masking for scene coherent enhancement
ACM SIGGRAPH 2008 papers
Adaptive Sharpening with Overshoot Control
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Contrast enhancement of images using Partitioned Iterated Function Systems
Image and Vision Computing
Contrast enhancement of images using partitioned iterated function systems
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Dynamic shading enhancement for reflectance transformation imaging
Journal on Computing and Cultural Heritage (JOCCH)
On-line visualization of underground structures using context features
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
UM-based image enhancement in low-light situations
CSS'11 Proceedings of the 5th WSEAS international conference on Circuits, systems and signals
Unsharp Masking, Countershading and Halos: Enhancements or Artifacts?
Computer Graphics Forum
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Contrast enhancement by the unsharp masking (UM) approaches are the simplest methods, both computationally and conceptually. In this paper, different methods of UM for image enhancement are compared. These algorithms have been tested and compared for the same conditions. The results show the majority of these algorithms are very sensitive to enhancement factor; and for good sharpening, this factor must be estimated recursively by considering the statistics of neighboring pixel values.