Abstract
Conventional computers do not readily lend themselves to picture processing. Digital image manipulation by conventional computer is accomplished only at a tremendous cost in time and conceptual distraction. Computer image processing is the activity of modifying a picture such that retrieval of relevant pictorially encoded information becomes trivial. Algorithm development for image processing is an alternating sequence of inspired creative visualizations of desired processed results and the formal procedures implementing the desired process on a particular image processing system. But our process of creative visualization is of pictures as a whole. Implementation of the visualized image manipulation by conventional computer requires fragmentation of the pictorial concept into information units matched to the word oriented capabilities of general purpose machines. Conventional computer image processing could be broadly categorized as manipulation of pixel states rather than pictorial content.
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© 1981 Plenum Press, New York
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Sternberg, S.R. (1981). Parallel Architectures for Image Processing. In: Onoe, M., Preston, K., Rosenfeld, A. (eds) Real-Time Parallel Computing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-3893-2_24
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DOI: https://doi.org/10.1007/978-1-4684-3893-2_24
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-3895-6
Online ISBN: 978-1-4684-3893-2
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