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Irregular Segmented Region Compression Coding Based on Pulse Coupled Neural Network

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【Author】 MA Yi-de1, QI Chun-liang 1,2, QIAN Zhi-bai1, SHI Fei1, ZHANG Bei-dou1 (1. College of Information Science & Engineering, Lanzhou University, Lanzhou 730000, CHN; 2. China Jiuquan Satellite Launch Center, Lanzhou 732750, CHN)

【Abstract】 An irregular segmented region coding algorithm based on pulse coupled neural network(PCNN) is presented. PCNN has the property of pulse-coupled and changeable threshold, through which these adjacent pixels with approximate gray values can be activated simultaneously. One can draw a conclusion that PCNN has the advantage of realizing the regional segmentation, and the details of original image can be achieved by the parameter adjustment of segmented images, and at the same time, the trivial segmented regions can be avoided. For the better approximation of irregular segmented regions, the Gram-Schmidt method, by which a group of orthonormal basis functions is constructed from a group of linear independent initial base functions, is adopted. Because of the orthonormal reconstructing method, the quality of reconstructed image can be greatly improved and the progressive image transmission will also be possible.

【基金】 National Natural Science Foundation of China(60572011) ;985 Special Study Project(LZ85 -231 -582627)
  • 【文献出处】 Semiconductor Photonics and Technology ,半导体光子学与技术(英文版) , 编辑部邮箱 ,2006年02期
  • 【分类号】TP183
  • 【被引频次】6
  • 【下载频次】35
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