Automatizing chromatic quality assessment for cultural heritage image digitization
DOI:
https://doi.org/10.3145/epi.2019.may.05Palabras clave:
Photography collections, Cultural heritage digitization, Image quality assessment (IQA), Color, Machine learning (ML), Decision trees, Automatic classification, Learning models, Algorithms.Resumen
In the context of digitization of photographs and other documents with graphical value, cultural heritage organizations need to give a guarantee that the stored digital image is a faithful representation of the physical image both at the physical level and the perceptual level. On the physical level, image quality can be measured objectively in a simple way by applying certain physical attributes to the image, as well as by measuring how distorting images affects the performance of the attributes. However, on the perceptual level, image quality should correspond to the perception that a human expert would experience when observing the physical image under certain determined and controlled conditions. In this paper we address the problem of image quality assessment (IQA) in the context of cultural heritage digitization by applying machine learning (ML). In particular, we explore the possibility of creating a decision tree that mimics the response of an expert on cultural heritage when observing cultural heritage images.Descargas
Citas
Aydin, Tuní§-Ozan; Mantiuk, Rafal; Myszkowski, Karol; Seidel, Hans-Peter (2008). "Dynamic range independent image quality assessment". ACM transactions on graphics, v. 27, n. 3, article n. 69. http://resources.mpi-inf.mpg.de/hdr/vis_metric
Brandí£o, Tomás; Queluz, Maria-Paula (2008). "No-reference image quality assessment based on DCT domain statistics". Signal processing, v. 88, n. 4, pp. 822-833. https://doi.org/10.1016/j.sigpro.2007.09.017
Breiman, Leo (1996). "Bagging predictors". Machine learning, v. 24, n. 2, pp. 123-140. https://doi.org/10.1023/A:101805431
Cadík, Martin; Herzog, Robert; Mantiuk, Rafal; Myszkowski, Karol; Seidel, Hans-Peter (2012). "New measurements reveal weaknesses of image quality metrics in evaluating graphics artifacts". ACM transactions on graphics, v. 31, n. 6, article n. 147. https://doi.org/10.1145/2366145.2366166
Chang, Huiwen; Yu, Ficher; Wang, Jue; Ashley, Douglas; Finkelstein, Adam (2016). "Automatic triage for a photo series". ACM transactions on graphics, v. 35, n. 4, article n. 148. https://doi.org/10.1145/2897824.2925908
Charrier, Christophe; Lézoray, Olivier; Lebrun, Gilles (2012). "Machine learning to design full-reference image quality assessment algorithm". Signal processing: Image communication, v. 27, n. 3, pp. 209-219. https://doi.org/10.1016/j.image.2012.01.002
De, Indrajit; Sil, Jaya (2011). "No reference image quality assessment using fuzzy relational classifier". In: Deng Hepu; Miao, Duoquian; Lei, Jingsheng; Wang, Fu-Lee (eds.). Intl conf on artificial intelligence and computational intelligence. AICI 2011. Lecture notes in computer science, v. 7002, pp. 551-558. ISBN: 978 3 642 23880 2 https://doi.org/10.1007/978-3-642-23881-9_71
Engeldrum, Peter G. (1995). "A framework for image quality models". Journal of imaging science and technology, v. 39, n. 4, pp. 312-318.
Engeldrum, Peter G. (2004). "A theory of image quality: The image quality circle". Journal of imaging science and technology, v. 48, n. 5, pp. 446-456. http://www.imcotek.com/pdf_temp/JIST_446-456_04_IQtheory.pdf
Fadgi (2010). Technical guidelines for digitizing cultural heritage materials: Creation of raster image master files. For the following originals - manuscripts, books, graphic illustrations, artwork, maps, plans, photographs, aerial photographs, and objects and artifacts. Federal Agencies Digitization Initiative; Still Image Working Group. http://www.digitizationguidelines.gov/guidelines/FADGI_Still_Image-Tech_Guidelines_2010-08-24.pdf
Frey, Franzisca S.; Reilly, James M. (2006). Digital imaging for photographic collections: Foundations for technical standards (2nd ed.). Rochester, NY: Image Permanence Institute. https://www.imagepermanenceinstitute.org/webfm_send/650
Gao, Xinbo; Gao, Fei; Tao, Dacheng; Li, Xuelog (2013). "Universal blind image quality assessment metrics via natural scene statistics and multiple kernel learning". IEEE Transactions on neural networks and learning systems, v. 24, n. 12, pp. 2013-2026. https://doi.org/10.1109/TNNLS.2013.2271356
Gastaldo, Paolo; Zunino, Rodolfo; Heynderickx, Ingrid; Vicario, Elena (2005). "Objective quality assessment of displayed images by using neural networks". Signal processing: Image communication, v. 20, n. 7, pp. 643-661. https://doi.org/10.1016/j.image.2005.03.013
Gastaldo, Paolo; Zunino, Rodolfo; Redi, Judith (2013). "Supporting visual quality assessment with machine learning". Eurasip, Journal on image and video processing, n. 54, pp. 1-15. https://doi.org/10.1186/1687-5281-2013-54
Hall, Mark; Frank, Elbe; Holmes, Geoffrey; Pfahringer, Bernhard; Reutemann, Peter; Witten, Ian H. (2009). "The WEKA data mining software: An update". Sigkdd Explorations, v. 11, n. 1, pp. 10-18. https://doi.org/10.1186/1687-5281-2013-54
ISO (2008). ISO 11664-4:2008 (CIE S 014-4/E:2007). Colorimetry - Part 4: CIE 1976 L*a*b* colour space. Geneva, Switzerland: International Organization for Standardization.
ISO (2009). ISO 3664:2009. Graphic technology and photography - Viewing conditions. Geneva, Switzerland: International Organization for Standardization.
ISO (2012). ISO 20462-3:2012. Photography - Psychophysical experimental methods for estimating image quality - Part 3: Quality ruler method. Geneva, Switzerland: International Organization for Standardization.
ISO (2015). ISO 12646:2015. Graphic technology - Displays for colour proofing - Characteristics. Geneva, Switzerland: International Organization for Standardization.
ISO (2017a). ISO 19263-1:2017. Photography - Archiving systems. Part 1: Best practices for digital image capture of cultural heritage material. Geneva, Switzerland: International Organization for Standardization.
https://www.iso.org/obp/ui/#iso:std:iso:tr:19263:-1:ed-1:v1:en
ISO (2017b). ISO/TS 19264-1:2017. Photography - Archiving systems -- Image quality analysis - Part 1: Reflective originals. Geneva, Switzerland: International Organization for Standardization.
Kopf, Johannes; Kienzle, Wolf; Drucker, Steven; Kang, Sing-Bing (2012). "Quality prediction for image completion". ACM transactions on graphics, v. 31, n. 6, article n. 131. https://doi.org/10.1145/2366145.2366150
Kusuma, Tubagus-Maulana; Zepernick, Hans-Jí¼rgen (2003). "A reduced-reference perceptual quality metric for in-service image quality assessment". In: SympoTIC´03. Joint first Workshop on mobile future and Symposium on trends in communications. IEEE, pp. 71-74. https://doi.org/10.1109/TIC.2003.1249092
Larson, Eric C.; Chandler, Damon M. (2010). "Most apparent distortion: Full-reference image quality assessment and the role of strategy". Journal of electronic imaging, v. 19, n. 1, pp. 1-21. https://doi.org/10.1117/1.3267105
Li, Chaofeng; Bovik, Alan C.; Wu, Xiaojun (2011). "Blind image quality assessment using a general regression neural network". IEEE Transactions on neural networks, v. 22, n. 5, pp. 793-799. https://doi.org/10.1109/TNN.2011.2120620
Li, Qiang; Wang, Zhou (2009). "Reduced-reference image quality assessment using divisive normalization-based image representation". IEEE Journal of selected topics in signal processing, v. 3, n. 2, pp. 202-211. https://doi.org/10.1109/JSTSP.2009.2014497
Lin, Weisi; Kuo, C. C. Jay (2011). "Perceptual visual quality metrics: A survey". Journal of visual communication and image representation, v. 22, n. 4, pp. 297-312. https://doi.org/10.1016/j.jvcir.2011.01.005
Liu, Mohan; Konya, Iuliu; Nandzik, Jan; Flores-Herr, Nicolas; Eickeler, Stefan; Ndjiki-Nya, Patrick (2012). "A new quality assessment and improvement system for print media". Eurasip, Journal on advances in signal processing, v. 2012, n. 109. https://doi.org/10.1186/1687-6180-2012-109
Liu, Tsung-Jung; Lin, Weisi; Kuo, C. C. Jay (2013). "Image quality assessment using multi-method fusion". IEEE transactions on image processing, v. 22, n. 5, pp. 1793-1807. https://doi.org/10.1109/TIP.2012.2236343
Luo, Ming-Ronnier; Cui, Guihua; Rigg, Bryan (2001). "The development of the CIE 2000 colour-difference formula: CIEDE2000". Color research & application, v. 26, n. 5, pp. 340-350. https://doi.org/10.1002/col.1049
Ma, Lin; Li, Songnan; Zhang, Fan; Ngan, King-Ngi (2011). "Reduced-reference image quality assessment using reorganized DCT-based image representation". IEEE Transactions on multimedia, v. 13, n. 4, pp. 824-829. https://doi.org/10.1109/TMM.2011.2109701
Major, John A.; Mangano, John J. (1995). "Selecting among rules induced from a hurricane database". Journal of intelligent information systems, v. 4, n. 1, pp. 39-52. https://doi.org/10.1007/BF00962821
Mantiuk, Rafat; Kim, Kil-Joong; Rempel, Allan G.; Heidrich, Wolfgang (2011). "HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions". ACM Transactions on graphics, v. 30, n. 4, article n. 40. https://doi.org/10.1145/2010324.1964935
Mittal, Anish; Moorthy, Anush-Krishna; Bovik, Alan C. (2012). "No-reference image quality assessment in the spatial domain". IEEE Transactions on image processing, v. 21, n. 12, pp. 4695-4708. https://doi.org/10.1109/TIP.2012.2214050
Narwaria, Manish; Lin, Weisi; Cetin, A. Enis (2012). "Scalable image quality assessment with 2D mel-cepstrum and machine learning approach". Pattern recognition, v. 45, n. 1, pp. 299-313. https://doi.org/10.1016/j.patcog.2011.06.023
Nationaal Archief of the Netherlands (2010). Digitisation of photographic materials. Guidelines. September 2010. https://www.nationaalarchief.nl/sites/default/files/field-file/guidelines_digitisation_photographic_materials.pdf
Oeztireli, A. Cengiz; Gross, Markus (2015). "Perceptually based downscaling of images". ACM Transactions on graphics, v. 34, n. 4, article n. 77. https://doi.org/10.1145/2766891
Ponomarenko, Nikolay; Jin, Lina; Ieremeiev, Oleg; Lukin, Vladimir; Egiazarian, Karen; Astola, Jaakko; Vozel, Benoit; Chehdi, Kacem; Carli, Marco; Battisti, Federica; Kuo, C. C. Jay (2015). "Image database TID2013: Peculiarities, results and perspectives". Signal processing: Image communication, v. 30, pp. 57-77. https://doi.org/10.1016/j.image.2014.10.009
Puglia, Steven; Reed, Jeffrey; Rhodes, Erin (2004). Technical guidelines for digitizing archival materials for electronic access: Creation of production master files - Raster images. U. S. National Archives and Records Administration (NARA). https://www.archives.gov/files/preservation/technical/guidelines.pdf
Quinlan, J. Ross (1992). C4.5: Programs for machine learning. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc. ISBN: 978 1 558602380
Robledano-Arillo, Jesús (2016). "25 years of digital conversión, state of the art". In: Conservation of photographs: 30 years of science. Pamplona, Spain: CAAP. ISBN: 978 84 608 4647 5
Robledano-Arillo, Jesús; Moreno-Pelayo, Valentín; Pereira-Uzal, José-Manuel (2016). "Aproximación experimental al uso de métricas objetivas para la estimación de calidad cromática en la digitalización de patrimonio documental gráfico". Revista española de documentación científica, v. 39, n. 2. https://doi.org/10.3989/redc.2016.2.1249
English version on: https://e-archivo.uc3m.es/handle/10016/23693
Robledano-Arillo, Jesús; Navarro-Bonilla, Diego (2017). "Aproximación sistemática a la creación de versiones digitales de negativos fotográficos históricos". El profesional de la información, v. 26, n. 6, pp. 1172-1183. https://doi.org/10.3145/epi.2017.nov.16
Sheikh, Hamid R.; Bovik, Alan C. (2006). "Image information and visual quality". IEEE Transactions on image processing, v. 15, n. 2, pp. 430-444. https://doi.org/10.1109/TIP.2005.859378
Sheikh, Hamid R.; Bovik, Alan C.; Cormack, Lawrence (2005). "No-reference quality assessment using natural scene statistics: JPEG2000". IEEE Transactions on image processing, v. 14, n. 11, pp. 1918-1927. https://doi.org/10.1109/TIP.2005.854492
Sheikh, Hamid R.; Sabir, Muhammad-Farooq; Bovik, Alan C. (2006). "A statistical evaluation of recent full reference image quality assessment algorithms". IEEE Transactions on image processing, v. 15, n. 11, pp. 3440-3451. https://doi.org/10.1109/TIP.2006.881959
Suresh, Sundaram; Babu, R. Venkatesh; Kim, Hyoung J. (2009). "No-reference image quality assessment using modified extreme learning machine classifier". Applied soft computing, v. 9, n. 2, pp. 541-552. https://doi.org/10.1016/j.asoc.2008.07.005
Van-Dormolen, Hans (2012). Metamorfoze preservation imaging guidelines. Image quality, version 1.0. National Archives of the Neetherlands. January 2012. https://www.metamorfoze.nl/sites/metamorfoze.nl/files/publicatie_documenten/Metamorfoze_Preservation_Imaging_Guidelines_1.0.pdf
Wang, Zhou; Bovik, Alan C.; Sheikh, Hamid R.; Simoncelli, Eero-Peter (2004). "Image quality assessment: From error visibility to structural similarity". IEEE Transactions on image processing, v. 13, n. 4, pp. 600-612. https://doi.org/10.1109/TIP.2003.819861
Wang, Zhou; Simoncelli, Eero P. (2005). "Reduced-reference image quality assessment using a wavelet-domain natural image statistic model". In: Rogowitz, Bernice E.; Pappas, Thrasyvoulos N.; Daly, Scott J. (eds.). Proceedings of SPIE. Human vision and electronic imaging X (18 March 2995), v. 5666, pp. 149-159. https://doi.org/10.1117/12.597306
Wang, Zhou; Simoncelli, Eero P.; Bovik, Alan C. (2003). "Multi-scale structural similarity for image quality assessment". In: Matthews, M. B. (ed.). The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, v. 2, pp. 1398-1402. https://doi.org/10.1109/ACSSC.2003.1292216
Williams, Don; Longman, Jere (2003). "Debunking specsmanship: Progress on ISO/TC42 standards for digital capture imaging performance". In: IS&T PICS Conference, pp. 77-81.
Zhang, Lin; Zhang, Lei; Mou, Xuanqin; Zhang, David (2011). "FSIM: A feature similarity index for image quality assessment". IEEE Transactions on image processing, v. 20, n. 8, pp. 2378-2386. https://doi.org/10.1109/TIP.2011.2109730
Zhao, Yang; Campisi, Patrizio; Kundur, Deepa (2004). "Dual domain watermarking for authentication and compression of cultural heritage image". IEEE Transactions on image processing, v. 13, n. 3, pp. 430-448. https://doi.org/10.1109/TIP.2003.821552
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Condiciones de difusión de los artículos una vez son publicados
Los autores pueden publicitar libremente sus artículos en webs, redes sociales y repositorios
Deberán respetarse sin embargo, las siguientes condiciones:
- Solo deberá hacerse pública la versión editorial. Rogamos que no se publiquen preprints, postprints o pruebas de imprenta.
- Junto con esa copia ha de incluirse una mención específica de la publicación en la que ha aparecido el texto, añadiendo además un enlace clicable a la URL: http://revista.profesionaldelainformacion.com
La revista Profesional de la información ofrece los artículos en acceso abierto con una licencia Creative Commons BY.
