19 September 2017 Resolution analysis of archive films for the purpose of their optimal digitization and distribution
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Abstract
With recent high demand for ultra-high-definition (UHD) content to be screened in high-end digital movie theaters but also in the home environment, film archives full of movies in high-definition and above are in the scope of UHD content providers. Movies captured with the traditional film technology represent a virtually unlimited source of UHD content. The goal to maintain complete image information is also related to the choice of scanning resolution and spatial resolution for further distribution. It might seem that scanning the film material in the highest possible resolution using state-of-the-art film scanners and also its distribution in this resolution is the right choice. The information content of the digitized images is however limited, and various degradations moreover lead to its further reduction. Digital distribution of the content in the highest image resolution might be therefore unnecessary or uneconomical. In other cases, the highest possible resolution is inevitable if we want to preserve fine scene details or film grain structure for archiving purposes. This paper deals with the image detail content analysis of archive film records. The resolution limit in captured scene image and factors which lower the final resolution are discussed. Methods are proposed to determine the spatial details of the film picture based on the analysis of its digitized image data. These procedures allow determining recommendations for optimal distribution of digitized video content intended for various display devices with lower resolutions. Obtained results are illustrated on spatial downsampling use case scenario, and performance evaluation of the proposed techniques is presented.
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Karel Fliegel, Karel Fliegel, Stanislav Vítek, Stanislav Vítek, Petr Páta, Petr Páta, Jiří Myslík, Jiří Myslík, Josef Pecák, Josef Pecák, Marek Jícha, Marek Jícha, } "Resolution analysis of archive films for the purpose of their optimal digitization and distribution", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103962T (19 September 2017); doi: 10.1117/12.2274095; https://doi.org/10.1117/12.2274095
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