Paper
27 August 1993 Redundancy reduction in image coding
Zia-ur Rahman, Rachel Alter-Gartenberg, Carl L. Fales, Friedrich O. Huck
Author Affiliations +
Abstract
We 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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zia-ur Rahman, Rachel Alter-Gartenberg, Carl L. Fales, and Friedrich O. Huck "Redundancy reduction in image coding", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150941
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Cited by 1 scholarly publication.
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KEYWORDS
Quantization

Image processing

Signal to noise ratio

Image quality

Image compression

Image restoration

Visualization

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