期刊文献+

盲反卷积方法在水下激光图像复原中的应用 被引量:6

Underwater Image Restoration by Means of Blind Deconvolution Approach
在线阅读 下载PDF
导出
摘要 由于水体对激光存在着吸收和散射效应,距离选通水下激光成像系统所获得的图像存在不同程度的劣化问题,具有信噪比低、边缘模糊等特点。为提高图像质量,在分析水下激光成像劣化过程的基础上,研究了水下激光图像的基本噪声特征,并结合点扩展函数和调制传递函数,利用威尔斯小角度近似理论,将盲反卷积方法应用到水下激光图像复原中。在进行盲反卷积图像复原时,比较和讨论了将原始图像和经过降噪处理后的图像分别作为初始输入的处理结果;并对当人为改变调制传递函数和点扩展函数时所得到的图像复原结果进行了研究和讨论。处理结果表明该方法能达到抑制背景噪声、突出目标细节、提高对比度的效果,对水下激光图像增强十分有效。 The degradation characteristic is one of the features of images acquired by range-gated underwater laser imaging systems for the reason of inevitable absorption and scattering by water. The underwater laser images have behaviors of low signal-to-noise ratio and blurry edge. In order to enhance the image quality, the degradation process of underwater laser ima ging is analyzed. The basic noise pattern is studied, and with the partial knowledge of point spread function and modulation transfer function, the blind deconvolution approach is applied in underwater image restoration utilizing Wells' small angle approximation. The results of direct processing and using denoised image as the input of blind deconvolution are compared and discussed. Moreover, the different restoration results are obtained and discussed by intentionally changing the modulation transfer function and point spread function parameters. The restoration results show that the method proposed is effective in enhancement of underwater laser imaging to restrain background noise, clear object details and advance contrast.
出处 《光学与光电技术》 2010年第3期13-17,共5页 Optics & Optoelectronic Technology
关键词 图像处理 图像复原 盲反卷积 点扩展函数 调制传递函数 image processing image restoration blind deconvolution point spread function modulation transfer function
  • 相关文献

参考文献10

  • 1Hou W L, Lee Z, Weidemann A D. Why does the Secchi disk disappear? An imaging perspective[J]. Opt. Express, 2007, 15(6): 2791-2802.
  • 2Hou W L, Gray D J, Weidemann A D, etal. Automated underwater image restoration and retrieval of related optical properties[C]. IEEE International Geosciences and Remote Sensing Symposium. IGARSS, 2007 : 1889-1892.
  • 3Wells W H. Theory of small angle scattering[R]. AGARD Lec. Series No. 61. NATO, 1973.
  • 4Hou W L, Gray D J, Weidemann A D, et al. Comparison and validation of point spread models for ima- ging in natural waters[J].Opt. Express. , 2008, 16 (13): 9958-9965.
  • 5Moran S E, Ulich B L, Elkins W P, et al. Intensified CCD (ICCD) dynamic range and noise performance[C]. SPIE, 1997, 3173: 430-457.
  • 6Lane R G. Blind deconvolution of speckle images[J].J. Opt. Soc. Am. A., 1992, (9): 1508-1514.
  • 7Richardson W H. Bayesian-based iterative method of image restoration[J]. J. Opt. Soc. Am.A., 1972, 62(1) : 55-59.
  • 8Lucy L B. An iterative technique for the rectification of observed distributions[J].Astroru J., 1974, 79 (6) : 745-754.
  • 9Gonzalez R C, Woods R E. Digital Image Processing [M]. Upper Saddle River, New Jersey.. Prentice Hall, 2002.
  • 10Fish D A, Brinicombe A M, Pike E R, et al. Blind deconvolution by means of the Richardson-Lucy algorithm [J].J. Opt Soc.Am.A., 1995, (12): 58-65.

同被引文献49

引证文献6

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部