摘要
侧抑制网络具有"突出边框,增强反差"的功能,但其增强反差的同时也增强了噪声,抗噪性差;小波变换具有平滑噪声的性能,但在平滑过程中会引起边缘模糊。将两者有机结合构造多分辨率侧抑制网络,利用小波变换平滑噪声,而利用侧抑制网络增强边框,从而准确、有效地增强图象的边缘。理论和实验结果表明:该方法能有效地增强具有低对比度、低信噪比、边缘模糊的红外图象的边缘。
Lateral inhibition is one of the basic principles in the nerve system's information processing. It can enhance the contrast and give prominence to changes, but it is sensitive to noise. Wavelet can smooth the noise while it is blur details. In this paper, we integrate lateral inhibition with Wavelet theory to get a multi-re Multi-Resolutional lateral inhibition network to enhance image's edge. Theory and experimental result illustrate that our method is effective.
出处
《计算技术与自动化》
2003年第2期97-99,共3页
Computing Technology and Automation
基金
西北工业大学"英才计划"
青年创新基金
高层次人才科研启动基金。
