The efficient transmission of video signals can be effected by the reduction of statistical redundancy, based on linear prediction. It is clear that economic transmission of video signals must be based on the characteristics of human vision where man is the end user. There are several characteristics of sight which can be used for this purpose. Contrast sensitivity is the important characteristic of vision for the predictive system. We consider the case of the Laplacian curve as an approximation for the contrast sensitivity of vision. It is shown that the differences between a Gaussian and a Laplacian approximation to the contrast sensitivity characteristic are insignificant.
Choosing a Vision Model for Optimizing DPCM Video
IEEE Transactions on Aerospace and Electronic Systems ; AES-15 , 1 ; 149-152
1979-01-01
599764 byte
Article (Journal)
Electronic Resource
English
Analyse von DPCM-Fehlermustern
TIBKAT | 1974
|New hybrid zerotree/DPCM image coder [3545-62]
British Library Conference Proceedings | 1998
|A Novel DPCM Algorithm using a Nonlinear Operator
British Library Conference Proceedings | 1994
|