4 April 1997 Bandwidth efficient image transformations on a multiprocessor
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Venkat Venkateswar, Venkat Venkateswar, R. Srinivasan, R. Srinivasan, P. S. Rao, P. S. Rao, } "Bandwidth efficient image transformations on a multiprocessor", Proc. SPIE 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II, (4 April 1997); doi: 10.1117/12.271613; https://doi.org/10.1117/12.271613


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