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         "booktitle": "Picture Coding Symposium, 2009. PCS 2009","address":"Chicago, IL, USA",
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         "url": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5167386", 
         
         "author": [ 
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         "pages": "1-4","abstract": "A perceptual image compression codec exploits the characteristics of the\nhuman senses to minimize the perceivable quality loss of digital images\nunder compression. Such a codec has an even higher value if the\nresulting codestreams are compatible to an existing standard, and are\nthus decodable by all-day, existing applications. This work will first\ndescribe three basic mechanisms perceptual coding is based on today,\nfollowed by strategies how to implement them in standardized\nenvironments, namely JPEG, JPEG 2000 and JPEG-XR. Following that,\nstrategies to evaluate the success of perceptive coding are discussed,\nnamely subjective measurements and objective quality metrics. Finally,\nthe circle is closed back to compression codecs by showing on the\nexample of JPEG 2000 and SSIM that quality metrics can also be used to\ndrive the rate-allocation of a codec, and hence explore the quality\njudgment of a metric directly.",
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         "booktitle": "Picture Coding Symposium, 2009. PCS 2009","address":"Chicago, IL, USA",
         "year": "2009", 
         "url": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5167386", 
         
         "author": [ 
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            	{"first" : "Thomas",	"last" : "Richter"}
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         "pages": "1-4","abstract": "A perceptual image compression codec exploits the characteristics of the\r\nhuman senses to minimize the perceivable quality loss of digital images\r\nunder compression. Such a codec has an even higher value if the\r\nresulting codestreams are compatible to an existing standard, and are\r\nthus decodable by all-day, existing applications. This work will first\r\ndescribe three basic mechanisms perceptual coding is based on today,\r\nfollowed by strategies how to implement them in standardized\r\nenvironments, namely JPEG, JPEG 2000 and JPEG-XR. Following that,\r\nstrategies to evaluate the success of perceptive coding are discussed,\r\nnamely subjective measurements and objective quality metrics. Finally,\r\nthe circle is closed back to compression codecs by showing on the\r\nexample of JPEG 2000 and SSIM that quality metrics can also be used to\r\ndrive the rate-allocation of a codec, and hence explore the quality\r\njudgment of a metric directly.",
         "doi" : "10.1109/PCS.2009.5167386",
         
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