The convergence of information technology and data management for digital imaging in museums

Emery, Doug; Toth, Michael B.; Noel, William

doi:10.1080/09647770903314712

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…This is an unfortunate consequence of working with unique items, which all have different research challenges, making comparisons and standards more fluid. Emery et al [56] and France et al…”

Section: Multispectral Imagingmentioning

confidence: 99%

“…Mosaicing algorithms can be computationally complex and time consuming [35], [37], [76], [126] and either use bespoke interfaces [33], or commercial software packages [35], [45], [48], [76], [82]. Some authors describe mosaicing algorithms [45], [91], [96], [98] whereas others simply state that mosaicing was used without stating which algorithm was used [23], [33], [56], [126], [160]. Fully explaining the approach taken would assist others in their application of mosaicing algorithms and software.…”

Section: Image Processingmentioning

confidence: 99%

“…MSI data management is challenging, due to the large volume of images created, which require data-storage facilities to be available. The challenges of dealing with large data sets are discussed in the literature [24], [33], [35], [47], [56], [126], [181], with Christens-Barry et al emphasising how managing the data "proved critical to the project" ( [35], p. 5). A storage plan and process must be established which describes the resources, what information to discard, whether to preserve all images at each stage of the capture and image processing pipeline, file formats, retention of calibration information, and the establishment of data back-up procedures.…”

Section: Data Managementmentioning

confidence: 99%

“…With certain file formats (such as TIFF) it is also possible to capture metadata into each individual image file header [78], [182] and it is recommended that at least minimal metadata requirements are saved with each image capture [78]. To maximise future research and analysis, data should be shared, although this requires a systematic approach and access to resources that allow storage and distribution of large volumes of image data, with financial implications [26], [56]. The absence of a data standard which would allow interoperability of MSI image data and documentation is frequently mentioned (see [24], [26], [35], [56], [181]), although this requires access to appropriate programs to display, organize and analyse large sets of image data.…”

Section: Data Managementmentioning

confidence: 99%

“…To maximise future research and analysis, data should be shared, although this requires a systematic approach and access to resources that allow storage and distribution of large volumes of image data, with financial implications [26], [56]. The absence of a data standard which would allow interoperability of MSI image data and documentation is frequently mentioned (see [24], [26], [35], [56], [181]), although this requires access to appropriate programs to display, organize and analyse large sets of image data. Although many teams develop bespoke viewing software [20], [33], [44], there is increased interest in exploring how the International Image Interoperability Framework (IIIF) [183] can facilitate MSI image distribution and inspection and compatible storage of metadata in .json files.…”

Section: Data Managementmentioning

confidence: 99%

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Understanding multispectral imaging of cultural heritage: Determining best practice in MSI analysis of historical artefacts

Jones¹,

Duffy

Gibson³

et al. 2020

Journal of Cultural Heritage

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Although multispectral imaging (MSI) of cultural heritage, such as manuscripts, documents and artwork, is becoming more popular, a variety of approaches are taken and methods are often inconsistently documented. Furthermore, no overview of the process of MSI capture and analysis with current technology has previously been published. This research was undertaken to determine current best practice in the deployment of MSI, highlighting areas that need further research, whilst providing recommendations regarding approach and documentation. An Action Research methodology was used to characterise the current pipeline, including: literature review; unstructured interviews and discussion of results with practitioners; and reflective practice whilst undertaking MSI analysis. The pipeline and recommendations from this research will improve project management by increasing clarity of published outcomes, the reusability of data, and encouraging a more open discussion of process and application within the MSI community. The importance of thorough documentation is emphasised, which will encourage sharing of best practice and results, improving community deployment of the technique. The findings encourage efficient use and reporting of MSI, aiding access to historical analysis. We hope this research will be useful to digitisation professionals, curators and conservators, allowing them to compare and contrast current practices. Highlights:• A range of approaches are undertaken for multispectral imaging of heritage.• An Action Research methodology was used to characterise the current pipeline.• A set of recommendations for best practice and documentation are provided.

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Section: Multispectral Imagingmentioning

confidence: 99%