کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5112738 1483950 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of chromogenic colour photographic print brand by fiber optical reflectance spectroscopy and statistical analysis
ترجمه فارسی عنوان
شناسایی نام تجاری چاپ رنگی با طیف سنجی بازتابی فیبر نوری و تجزیه و تحلیل آماری
کلمات کلیدی
عکس های رنگی، کروموزومی شناسایی، آگفا، کداک، فوجی، نزدیک به طیف سنجی مادون قرمز، تحلیل آماری، تجزیه و تحلیل خطی خطی، تجزیه و تحلیل مولفه اصلی،
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
چکیده انگلیسی
Over the last quarter of the 20th century, chromogenic colour process was the predominant photographic process on the market and has been used by the professionals, artists and the public at large. Today it represents a precious part of our photographic heritage. Unfortunately, some colour prints are very fragile and discolour during display or storage faster than others; it is well known that some brands and production times correspond to different thermal and light-ageing behaviour for prints. Being able to identify a colour process, a brand and possibly a period of printing may inform us not only about the provenance of the artefact but also its sensitivity to the environment. With this aim, this paper investigates the possibility of using near-infrared spectral signatures of chromogenic colour photographs combined with statistical analysis to identify photographic paper manufacturers. To carry out the study, a batch of a few hundreds of amateurs colour photographs printed on Agfa, Fuji or Kodak paper produced from the 1960's to the 2000's was gathered from private and public collections. Non-invasive fiber optical reflectance spectroscopy (FORS) in the range of 1000-2500 nm was performed on those images in order to implement a reflectance spectra database. Then statistical data treatments were tested to evaluate the possibility of retrieving a print manufacturer with the lowest error possible. The use of linear discriminant analysis (LDA) combined with principal component analysis (PCA) allows reaching from 82 to 96% of correct identification depending on the paper type. This shows a possibility of implementing automated attribution procedures for chromogenic colour photographic prints.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cultural Heritage - Volume 26, July–August 2017, Pages 28-35
نویسندگان
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