Title :
Perceptual image coding by standard-constraint codecs
Author_Institution :
RUS Comput. Center, Univ. of Stuttgart, Stuttgart, Germany
Abstract :
A perceptual image compression codec exploits the characteristics of the human senses to minimize the perceivable quality loss of digital images under compression. Such a codec has an even higher value if the resulting code-streams are compatible to an existing standard, and are thus decode-able by all-day, existing applications. This work describes strategies how to implement perceptual coding in standardized environments, namely JPEG, JPEG 2000 and JPEG-XR.
Keywords :
codecs; data compression; image coding; JPEG 2000; JPEG-XR; codestreams; digital images; perceivable quality loss; perceptual image coding; perceptual image compression codec; standard-constraint codecs; Code standards; Codecs; Decoding; Humans; ISO standards; Image coding; Pipelines; Pixel; Standardization; Transform coding;
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
DOI :
10.1109/PCS.2009.5167386
