11 July 1985 System Design For Local Neighborhood Processing
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Proceedings Volume 0534, Architectures and Algorithms for Digital Image Processing II; (1985); doi: 10.1117/12.946563
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States
Abstract
A class of processors which perform local neighborhood or cellular operations has well-documented applications in image processing. The architectural feature which unites these processors is their use of special-purpose hardware to compute image transformations based both on the values and on the spatial relationship of pixels in the input image. Typical operations include 3 x 3 convolution and mathematical morphology. Processing elements which compute cellular operations have been incorporated in a variety of system architectures. These range from single-processor, recirculating buffer systems to systems which have thousands of processors in a four-way interconnected mesh. Another feature which unites these processors is that they operate on images in the iconic domain. A new class of non-iconic processor is introduced here which uses image encoding schemes to reduce the number of operations required for certain classes of operations by between one and two orders of magnitude.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick F. Leonard, Trevor N. Mudge, "System Design For Local Neighborhood Processing", Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); doi: 10.1117/12.946563; https://doi.org/10.1117/12.946563
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KEYWORDS
Image processing

Image compression

Computer architecture

Computing systems

Computer programming

Data processing

Digital image processing

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