Adaptive equalization of synthetic aperture sonar image under local background variational iteration
LI Gengxiang1,2,3, LIU Jiyuan1,3, LI Baoqi1,3, WEI Linzhe1,3, GONG Wenjing1,2,3
1. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China; 3. Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing, Chinese Academy of Sciences, Beijing 100190, China
Abstract:Aiming at the problems of local gray distortion,low contrast,and target masking in synthetic aperture sonar images,this paper proposes an adaptive equalization enhancement method. Firstly,a non-equilibrium time evolution model in the image domain is established by the variational theory. Then the local information of the sonar image and the difference relationship between the images at adjacent moments in the equalization evolution process are used to construct the equalization function by means of exponential weighting. The weight coefficient is automatically updated,and the background component is estimated during the iteration. Finally,the equalization outcome is obtained by background equalization and dynamic range a-djustment. According to the verification and analysis of actual data,the background of the sonar image after equalization becomes more uniform,and the contrast is improved. In addition,the target and texture are enhanced,and the noise interference is effectively suppressed. Compared with other algorithms,the local equalization,equivalent view,peak signal-to-noise ratio,and local structure similarity of the image are optimal,and the practicability and effectiveness are guaranteed.
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