Abstract
The results in developing the GIPP processor are encouraging and are stimulating the VLSI implementation of GIPP processing elements. With the aim to extend the parallelization of GIPP processing in an effective way systolic GIPP arrays have been developed. The systolic approach is very interesting in this relation providing a sound theoretical base for massively parallel GIPP processing.
Besides, this paper can also be considered as a contribution to the recent attempts to resume the neural network modelling research of the sixties and seventies. The GIPP processing structure was developed from first principles of local image preprocessing. In the authors opinion this approach is very promissing, mainly because of the facts, that the progammability of the processing elements is included in a natural manner and that the systolic approach may be used for developing massively parallel processing arrays.
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6. References
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© 1989 Springer-Verlag Berlin Heidelberg
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Fritzsch, K., Kutschke, G., Roesler, U., Schwarze, G. (1989). Effective image processing using the special purpose processor GIPP. In: Cantoni, V., Creutzburg, R., Levialdi, S., Wolf, G. (eds) Recent Issues in Pattern Analysis and Recognition. Lecture Notes in Computer Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51815-0_50
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DOI: https://doi.org/10.1007/3-540-51815-0_50
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