Redundancy reduction in image codingWe assess redundancy reduction in image coding in terms of the information acquired by the image-gathering process and the amount of data required to convey this information. A clear distinction is made between the theoretically minimum rate of data transmission, as measured by the entropy of the completely decorrelated data, and the actual rate of data transmission, as measured by the entropy of the encoded (incompletely decorrelated) data. It is shown that the information efficiency of the visual communication channel depends not only on the characteristics of the radiance field and the decorrelation algorithm, as is generally perceived, but also on the design of the image-gathering device, as is commonly ignored.
Document ID
19930069029
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Rahman, Zia-Ur (Science and Technology Corp. Hampton, VA, United States)
Alter-Gartenberg, Rachel (Old Dominion Univ. Norfolk, VA, United States)
Fales, Carl L. (NASA Langley Research Center Hampton, VA, United States)
Huck, Friedrich O. (NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1993
Publication Information
Publication: In: Visual information processing II; Proceedings of the Meeting, Orlando, FL, Apr. 14-16, 1993 (A93-53022 23-63)
Publisher: Society of Photo-Optical Instrumentation Engineers
Subject Category
Cybernetics
Accession Number
93A53026
Distribution Limits
Public
Copyright
Other
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Related Records
IDRelationTitle19930069025Collected WorksVisual information processing II; Proceedings of the Meeting, Orlando, FL, Apr. 14-16, 1993