北京航空航天大学学报 ›› 2006, Vol. 32 ›› Issue (02): 214-217.

• 论文 • 上一篇    下一篇

基于小波的非线性模型的孔探图像压缩

丁鹏1, 马齐爽1, 李长有1, 姚红宇2   

  1. 1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100083;
    2. 中国民用航空总局航空安全技术研究所, 北京 100028
  • 收稿日期:2005-10-14 出版日期:2006-02-28 发布日期:2010-09-20
  • 作者简介:丁 鹏(1979-),男,山东即墨人,博士生,dingpeng516@163.com.
  • 基金资助:

    中国民航总局航空安全技术分析和鉴定实验室开放研究基金资助课题(200603)

Wavelet and nonlinear model based borescope image compression

Ding Peng1, Ma Qishuang1, Li Changyou1, Yao Hongyu2   

  1. 1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
    2. Center of Aviation Safety Technology of China, General Administration of Civil Aviation of China, Beijing 100028, China
  • Received:2005-10-14 Online:2006-02-28 Published:2010-09-20

摘要: 针对涡轮发动机内部图像细节丰富的特点,为了实现在高压缩比下对细节信息的保留,以不影响发动机内部故障检测,采用小波域的非线性表示和建模方法,利用多尺度边缘检测对边缘进行定位,通过轮廓加剖面模型在定位的边缘进行边缘影响区域划分;之后通过阈值将边缘影响区域进一步划分为较重影响系数区域与较轻影响系数区域,在不同区域应用不同的编码质量控制,从而实现了一种基于小波着重于边缘的图像编码系统.实验结果表明,与一般的小波图像压缩方法相比较,在不同的压缩率下,峰值信噪比均得到小幅度的提高,并且从视觉感官上也得到较好的效果.

Abstract: The borescope image quality around edges is very important to the fault diagnostic of aeronautic engine. And inside the turbofan engine, the borescope image often has complex edges and textures. To achieve high compression ratio without losing of the edge and texture information, a kind of image compression method with emphasis on edges and textures was presented. First, it used wavelet transform in order to obtain a set of biorthogonal subclasses of images. Second, multiscale Canny edge detector was used to locate the edge. Third, the AOI(area of influence) was set by contour plus profile model, witch was an edge nonlinear represent and modeling method. Finally, by rate control, different image quality was obtained in different areas of the image, like ROI(region-of-interest) coding of JPEG2000. Test result shows, comparing with general image compression method, at different compression ratio, PSNR(peak signal to noise ratio) has all gotten lightweight raise, and the visual perception around edges is also better than the general method.

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发