We propose a set of dynamic shading enhancement techniques for improving the perception of details, features, and overall shape characteristics from images created with Reflectance Transformation Imaging (RTI) techniques. Selection of these perceptual enhancement filters can significantly improve the user's ability to interactively inspect the content of 2D RTI media by zooming, panning, and changing the illumination direction. In particular, we present two groups of strategies for RTI image enhancement based on two main ideas: exploiting the unsharp masking methodology in the RTI-specific context; and locally optimizing the incident light direction for improved RTI image sharpness and illumination of surface features. The Result section will present a number of datasets and compare them with existing techniques.
ACM Reference Format:Palma, G., Corsini, M., Cignoni, P., Scopigno, R., and Mudge, M. 2010. Dynamic shading enhancement for reflectance transformation imaging. ACM J.
This paper will present the first module of an advanced set of metadata and knowledge management tools to record a "Digital Lab Notebook" (DLN), the equivalent of the traditional scientist's lab notebook. The DLN:Capture Context (DLN:CC) tool describes the means and context of photographic data capture. The tool is designed for broad use across computational photography technologies. The DLN:CC has already been implemented for Reflectance Transformation Imaging (RTI) and implementation for photogrammetry is underway. The collection and organization of contextual metadata is highly automated, facilitating use during the time the image data is captured and processed, rather than afterward. This project adds ISO-standard compliant metadata, which establishes the provenance of the imaging subject's digital surrogate. The captured photographic sequences and the DLN metadata contain all the information needed to generate and/or regenerate advanced, image-based 2D and 3D digital surrogates, such as Reflectance Transformation Imaging or photogrammetry's 3D models with texture. The DLN also provides each digital surrogate a scientific account of their collection and generation. is co-founder and Director of Cultural Heritage Imaging (CHI), a nonprofit corporation, founded in 2002. Carla directs CHI's software development activities and leads the training programs. She spent 20 years in the commercial software industry, directing a wide range of software projects including Sun Microsystems' Java technology. Mark Mudge is President and co-founder of CHI. Mark has worked in 3D digital imaging for over 25 years. He is a co-inventor, with Tom Malzbender, of the computational photography technique, Highlight Reflectance Transformation Imaging. Mark is also an associate editor of the Journal of Computers and Cultural Heritage. Erich Leisch is a Senior Software Engineer at The Foundation for Research and Technology Hellas (FORTH) since 1995. He developed the DLN:Capture Context tool for RTI and is developing the DLN:Capture Context tool for photogrammetry. Martin
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.