Subjective image quality assessment based on objective image quality measurement factors
This study was based on the prevailing need to reproduce customers' preferred images. Therefore, we propose a new subjective image quality assessment consisting of languages that customers and manufacturers can easily understand based on the objective image quality measurement factors. In order...
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| Veröffentlicht in: | IEEE transactions on consumer electronics 2011-08, Vol.57 (3), p.1176-1184 |
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| container_title | IEEE transactions on consumer electronics |
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| creator | Park, Hyung-ju Har, Dong-hwan |
| description | This study was based on the prevailing need to reproduce customers' preferred images. Therefore, we propose a new subjective image quality assessment consisting of languages that customers and manufacturers can easily understand based on the objective image quality measurement factors. In order to examine subjective image quality assessment, these objective image quality measurement factors are expressed by general adjective language throughout the experimental process. To draw adjective languages, the objective image quality measurement factors are presented by stimuli, and subjects expressed their perception of an image quality. The resulting languages are used to question an image quality. According to the analysis, there are meaningful correlations between image quality measurement factors. Moreover, the results indicated that items which strongly affect preference are color reproduction, dynamic range, resolution, and noise, respectively. The study concurs with Engeldrum's The Complete Image Circle and affirms the positive role of interaction between manufacturers and consumers to assess and enhance image quality preference and equipment performance. |
| doi_str_mv | 10.1109/TCE.2011.6018872 |
| format | Article |
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Therefore, we propose a new subjective image quality assessment consisting of languages that customers and manufacturers can easily understand based on the objective image quality measurement factors. In order to examine subjective image quality assessment, these objective image quality measurement factors are expressed by general adjective language throughout the experimental process. To draw adjective languages, the objective image quality measurement factors are presented by stimuli, and subjects expressed their perception of an image quality. The resulting languages are used to question an image quality. According to the analysis, there are meaningful correlations between image quality measurement factors. Moreover, the results indicated that items which strongly affect preference are color reproduction, dynamic range, resolution, and noise, respectively. 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(IEEE) Aug 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c322t-84f60f6b85e5d3ab138627fe9233801db4e515478ebfeeea1f7d1db9ca01f25a3</citedby><cites>FETCH-LOGICAL-c322t-84f60f6b85e5d3ab138627fe9233801db4e515478ebfeeea1f7d1db9ca01f25a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6018872$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6018872$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Park, Hyung-ju</creatorcontrib><creatorcontrib>Har, Dong-hwan</creatorcontrib><title>Subjective image quality assessment based on objective image quality measurement factors</title><title>IEEE transactions on consumer electronics</title><addtitle>T-CE</addtitle><description>This study was based on the prevailing need to reproduce customers' preferred images. 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The study concurs with Engeldrum's The Complete Image Circle and affirms the positive role of interaction between manufacturers and consumers to assess and enhance image quality preference and equipment performance.</description><subject>Analytical models</subject><subject>Assessments</subject><subject>Cameras</subject><subject>Charge coupled devices</subject><subject>Color</subject><subject>Customers</subject><subject>Dynamic range</subject><subject>Electronics</subject><subject>Image quality</subject><subject>Image resolution</subject><subject>Noise</subject><subject>objective imagequality measurement</subject><subject>Perception</subject><subject>preference</subject><subject>Stimuli</subject><subject>subjective assessment</subject><issn>0098-3063</issn><issn>1558-4127</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp1kE1Lw0AQhhdRsFbvgpfgxVPqzG422Ryl1A8QPFjB27JJZiUlH-1uIvTfu7XVg-BpYOZ5h5mHsUuEGSLkt8v5YsYBcZYCKpXxIzZBKVWcIM-O2QQgV7GAVJyyM-9XAJhIribs_XUsVlQO9SdFdWs-KNqMpqmHbWS8J-9b6oaoMJ6qqO-i_h-2JeNHR9-wNeXQO3_OTqxpPF0c6pS93S-W88f4-eXhaX73HJeC8yFWiU3BpoWSJCthChQq5ZmlnAuhAKsiIYkyyRQVlogM2qwK3bw0gJZLI6bsZr937frNSH7Qbe1LahrTUT96nfNUcIQkCeT1H3LVj64Lx2mVg1DBThYg2EOl6713ZPXahV_dViPonWgdROudaH0QHSJX-0gdDvzFf6ZfoeV6pA</recordid><startdate>201108</startdate><enddate>201108</enddate><creator>Park, Hyung-ju</creator><creator>Har, Dong-hwan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Therefore, we propose a new subjective image quality assessment consisting of languages that customers and manufacturers can easily understand based on the objective image quality measurement factors. In order to examine subjective image quality assessment, these objective image quality measurement factors are expressed by general adjective language throughout the experimental process. To draw adjective languages, the objective image quality measurement factors are presented by stimuli, and subjects expressed their perception of an image quality. The resulting languages are used to question an image quality. According to the analysis, there are meaningful correlations between image quality measurement factors. Moreover, the results indicated that items which strongly affect preference are color reproduction, dynamic range, resolution, and noise, respectively. 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| source | IEEE Electronic Library (IEL) |
| subjects | Analytical models Assessments Cameras Charge coupled devices Color Customers Dynamic range Electronics Image quality Image resolution Noise objective imagequality measurement Perception preference Stimuli subjective assessment |
| title | Subjective image quality assessment based on objective image quality measurement factors |
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