Massive Image Treatment System Based on Cloud Computing Platform

Abstract:

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3733-3737
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3733
• Online since: November 2014
• Authors: Dan Wu, Ming Quan Zhou, Rong Fang Bie*
• Keywords: Cloud Computing, DSP Processor, Massive Image, Parallel Computing, VC Software, Virtual Space

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