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Proceedings Paper

Bandwidth efficient image transformations on a multiprocessor
Author(s): Venkat Venkateswar; R. Srinivasan; P. S. Rao
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Paper Abstract

Image transformation computations are typically the most computationally intensive operations in raster image processing. Raster image processing is the process of converting a page description language like postscript to a bitmap. Researchers have traditionally assumed a uniprocessor model when optimizing the execution time associated with image transformation. In the case of multiprocessing environments, in addition to computational speed, other factors like the frame-buffer access bottleneck, processor utilization, etc. have to be considered. A block based approach that takes these factors into consideration will be presented along with techniques to choose optimal block dimensions.We will focus on the single-chip multi-processing environment provided on Texas Instruments TMS320C80 which has a RISC processor and four Digital Signal Processors on the same chip. We will compare the performance of the block based approach with a conventional scan-line based approach.

Paper Details

Date Published: 4 April 1997
PDF: 8 pages
Proc. SPIE 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II, (4 April 1997); doi: 10.1117/12.271613
Show Author Affiliations
Venkat Venkateswar, Texas Instruments Inc. (India)
R. Srinivasan, Texas Instruments Inc. (India)
P. S. Rao, Texas Instruments Inc. (India)

Published in SPIE Proceedings Vol. 3018:
Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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