A new framework for automatic quality assessment of print media
Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive a...
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creator | Mohan Liu Konya, I. Nandzik, J. Flores-Herr, N. Eickeler, S. Ndjiki-Nya, P. |
description | Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this paper, a new automatic quality assessment framework is proposed. The digitized source image and a color reference target are extracted from the raw digitized images by an automatic segmentation process. The target is evaluated by a reference-based algorithm. No-reference quality metrics are applied to the source image. Experimental results are provided to illustrate the performance of the proposed framework. We show that our approach yields a significant improvement in the extraction as well as in the quality assessment step compared to the state-of-the-art. |
doi_str_mv | 10.1109/ICIP.2012.6466978 |
format | Conference Proceeding |
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We show that our approach yields a significant improvement in the extraction as well as in the quality assessment step compared to the state-of-the-art.</description><subject>Brightness</subject><subject>Color checker detection</subject><subject>Color fidelity</subject><subject>Colored noise</subject><subject>Contrast</subject><subject>Image color analysis</subject><subject>Measurement</subject><subject>Media</subject><subject>No reference quality assessment</subject><subject>Overall quality</subject><subject>Quality assessment</subject><subject>Sharpness</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>1467325341</isbn><isbn>9781467325349</isbn><isbn>9781467325332</isbn><isbn>1467325325</isbn><isbn>9781467325325</isbn><isbn>1467325333</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UMlqwzAUVDeok-YDSi_6Abt6kqzlVILpYgi0h9zDi_0EauO4tRxC_r6GppeZgYGZYRi7B1EACP9YV_VHIQXIwmhjvHUXbDEhaGOVLJWSlyyTykHuSu2v2Ozf0HDNMiilzLVz4pbNUvoUYgpSkLGnJd_TkYcBOzr2wxcP_cDxMPYdjrHhPwfcxfHEMSVKqaP9yPvAv4c4iY7aiHfsJuAu0eLMc7Z-eV5Xb_nq_bWulqs8gi3HHOy2aRyRCMYo6wFD6bzz0hrQjXFbkr4NrVUgJOE0X4JpDYJqJJpgtZqzh7_YSESbqb_D4bQ5_6B-AahQTJE</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Mohan Liu</creator><creator>Konya, I.</creator><creator>Nandzik, J.</creator><creator>Flores-Herr, N.</creator><creator>Eickeler, S.</creator><creator>Ndjiki-Nya, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201209</creationdate><title>A new framework for automatic quality assessment of print media</title><author>Mohan Liu ; Konya, I. ; Nandzik, J. ; Flores-Herr, N. ; Eickeler, S. ; Ndjiki-Nya, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-17bcc8ee0f663791af5898927614c68be29dfd73102ea549216d6a13c2a6f743</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Brightness</topic><topic>Color checker detection</topic><topic>Color fidelity</topic><topic>Colored noise</topic><topic>Contrast</topic><topic>Image color analysis</topic><topic>Measurement</topic><topic>Media</topic><topic>No reference quality assessment</topic><topic>Overall quality</topic><topic>Quality assessment</topic><topic>Sharpness</topic><toplevel>online_resources</toplevel><creatorcontrib>Mohan Liu</creatorcontrib><creatorcontrib>Konya, I.</creatorcontrib><creatorcontrib>Nandzik, J.</creatorcontrib><creatorcontrib>Flores-Herr, N.</creatorcontrib><creatorcontrib>Eickeler, S.</creatorcontrib><creatorcontrib>Ndjiki-Nya, P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mohan Liu</au><au>Konya, I.</au><au>Nandzik, J.</au><au>Flores-Herr, N.</au><au>Eickeler, S.</au><au>Ndjiki-Nya, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A new framework for automatic quality assessment of print media</atitle><btitle>2012 19th IEEE International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2012-09</date><risdate>2012</risdate><spage>789</spage><epage>792</epage><pages>789-792</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>1467325341</isbn><isbn>9781467325349</isbn><eisbn>9781467325332</eisbn><eisbn>1467325325</eisbn><eisbn>9781467325325</eisbn><eisbn>1467325333</eisbn><abstract>Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this paper, a new automatic quality assessment framework is proposed. The digitized source image and a color reference target are extracted from the raw digitized images by an automatic segmentation process. The target is evaluated by a reference-based algorithm. No-reference quality metrics are applied to the source image. Experimental results are provided to illustrate the performance of the proposed framework. We show that our approach yields a significant improvement in the extraction as well as in the quality assessment step compared to the state-of-the-art.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2012.6466978</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Brightness Color checker detection Color fidelity Colored noise Contrast Image color analysis Measurement Media No reference quality assessment Overall quality Quality assessment Sharpness |
title | A new framework for automatic quality assessment of print media |
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