Manual Digital Heritage: Applying Digital Imaging to Cultural Heritage

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Learn more and download the tools. The National Endowment for the Humanities NEH awarded a grant to CHI in supporting the development and enhancement of internationalized open source software tools for the collection, management, archiving, and sharing of cultural heritage imaging data and associated metadata. This paper, presented by CHI at the Archiving conference in Riga, Latvia, describes the first module of an advanced set of metadata and knowledge management tools to record a Digital Lab Notebook.

Learn more and download the PDF paper. This chapter of the book Copy Culture: Sharing in the Age of Digital Reproduction contains an interview on page with Mark Mudge and Carla Schroer of CHI, where they discuss the Digital Lab Notebook and its software tools designed to ease the process of properly recording how a digital representation is made. Download and read the paper PDF. How does it work?

Digital Heritage: 1st Edition (Hardback) - Routledge

The Digital Lab Notebook DLN is a software pipeline made up of open source software tools and associated good practices. With these tools, both heritage professionals and citizen scholars can know their work will pass on the richness of the human experience to future generations. The first two software tools, called DLN: Inspector, are at the Beta state of development and are now released to the general public.

Additional tools to aid archival submission to data depositories, internationalization of the software for easier translation to local languages, and other associated tools are funded by a National Endowment for the Humanities NEH grant award and are under construction. More information about the NEH project and these other new tools can be found in the Archival Submission and Additional Tools and Features sections of the project description. The DLN is designed for use with computational photography imaging technologies.

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When a photographer captures a sequence of images for use with computational photography, the rigor of scientific imaging requires a record of the means and circumstances surrounding the photographic capture event and subsequent image processing. Support for multispectral Imaging is under construction.

For example, to generate a Digital Lab Notebook account of the imaging equipment used during a capture session, the capture team first must enter a one-time description of all the equipment they will use for image capture into the DLN: This tool enables the capture team to organize the listed equipment into sub-assemblies.

For example, cameras and tripods can be grouped into templates, and lighting equipment can be grouped into other frequently used configurations. These sub-assemblies can then be easily used to describe the equipment configuration for a specific capture session. Conceptual illustration of the Digital Lab Notebook: The Inspector tool ensures that each acquired image set meets the requirements for high-quality computational photography imaging.

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The tool automatically checks the metadata of the collected images and compares it against documented rules and recommendations for camera settings, archival workflow, and preparation of images for archiving and future processing. Inspector can check that aperture does not change across a given RTI image set. The tool will also check for image-processing errors, such as sharpening, that should not be applied to photogrammetry or RTI image data.

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This validation step will ensure users are alerted to many types of potential issues in their image sets. Note that the tool cannot automatically check for out-of-focus or improperly exposed images, so additional quality control may be required beyond these automatic checks. The user has the ability to correct indicated errors and rerun the DLN: Inspector to generate a satisfactory report. When archived or shared, the digital representation carries along with it the information in the DLN.

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That way anyone can evaluate the quality of the digital representation by looking in the notebook. Underneath the level of the user experience, the tools use advanced, ISO standard-based knowledge management methods to retain important information relationships and make this information widely accessible across archives.

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Inspector are designed to be an integral part of, and used during, the capture process and subsequent initial image processing. DLNCC collects and enables the organization of user entered metadata before the image capture work. During image capture, the user needs only a small number of interactions with the software. This unique collaboration produced information for ten chapters of this volume. For conservation digital imaging can be used to survey the state of existing surfaces, to compare styles and details with other sites, to visualise the effects of proposed cleaning or reconstruction techniques, and to provide a record of appearances before and after restoration.

The chapters on technology follow the logical progression from image capture through image processing, database storage, colour management, image compression and quality assessment.

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