TY - GEN
T1 - Information theoretical assessment of image gathering and coding for digital restoration
AU - Huck, Friedrich O.
AU - John, Sarah
AU - Reichenbach, Stephen E.
PY - 1990
Y1 - 1990
N2 - In this paper we are concerned with the end-to-end performance of image gathering, coding, and restoration as a whole rather than as a chain of independent tasks. Our approach evolves from the pivotal relationship that exists between the spectral information density of the transmitted signal and the restorability of images from this signal. The results of this assessment lead to intuitively appealing insights about image gathering and coding for digital restoration. Foremost is the realization that images can be restored with better quality and from less data as the information efficiency of the transmitted data is increased. Another important realization is that the critical constraints imposed on both image gathering and natural vision limit the maximum acquired information density to approximately 4 binary information units (bifs). If the data are digitally restored as an image on film, the information density may be reduced to less than 3 bifs. The higher information density of approximately 4 bifs that the eye can acquire probably contributes effectively to the improvement in visual quality that we always experience when we view a scene directly rather than through the media of image gathering and restoration.
AB - In this paper we are concerned with the end-to-end performance of image gathering, coding, and restoration as a whole rather than as a chain of independent tasks. Our approach evolves from the pivotal relationship that exists between the spectral information density of the transmitted signal and the restorability of images from this signal. The results of this assessment lead to intuitively appealing insights about image gathering and coding for digital restoration. Foremost is the realization that images can be restored with better quality and from less data as the information efficiency of the transmitted data is increased. Another important realization is that the critical constraints imposed on both image gathering and natural vision limit the maximum acquired information density to approximately 4 binary information units (bifs). If the data are digitally restored as an image on film, the information density may be reduced to less than 3 bifs. The higher information density of approximately 4 bifs that the eye can acquire probably contributes effectively to the improvement in visual quality that we always experience when we view a scene directly rather than through the media of image gathering and restoration.
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M3 - Conference contribution
AN - SCOPUS:0025546260
SN - 0819404217
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 1590
EP - 1607
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Kunt, Murat
PB - Publ by Int Soc for Optical Engineering
T2 - Visual Communications and Image Processing '90
Y2 - 1 October 1990 through 4 October 1990
ER -