Memory Allocation for Multi-Resolution Image Processing

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概要

• 論文の詳細を見る

• Hierarchical approaches using multi-resolution images are well-known techniques to reduce the computational amount without degrading quality. One major issue in designing image processors is to design a memory system that supports parallel access with a simple interconnection network. The complexity of the interconnection network mainly depends on memory allocation; it maps pixels onto memory modules and determines the required number of memory modules. This paper presents a memory allocation method to minimize the number of memory modules for image processing using multi-resolution images. For efficient search, the proposed method exploits the regularity of window-type image processing. A practical example demonstrates that the number of memory modules is reduced to less than 14% that of conventional methods.

• （社）電子情報通信学会の論文
• 2008-10-01

著者

• Kameyama Michitaka

  Graduate School of Information Sciences, Tohoku University

• HARIYAMA Masanori

  Graduate School of Information Sciences, Tohoku University

• KOBAYASHI Yasuhiro

  Oyama National College of Technology

• Hariyama Masanori

  Graduate School Of Information Sciences Tohoku University

• Kameyama Michitaka

  Tohoku Univ. Sendai‐shi Jpn

• Kameyama Michitaka

  Graduate School Of Information Science Tohoku University

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