Adaptive daptive wiener filter of aero degraded image bas ased on ed precise image segmentation
To the problem problems of blur in aero degraded image due to noise d disturbance isturbance and aero aero-optical effect effects, an s, adaptive daptive wiener filter algorithm of aero degraded image based on precise image segmentation was proposed. Firstly, edge detection was done to precisely comminute edge region region. Then . Then, adaptive wiener filter was done on the premise that point spread function ( PSF) submits to Gaussian distributing distributing.thereinto, image .definition estimate function was used to dispose controllable gene of algorithm to fulfill adaptive algorithm. Numerical experimental results of aero degraded im image ages and contrast contrasts with other algorithms s show that this algorithm is better in detail detail-preserving and deblur deblurring of ing aero degraded image image. Meantime, complexity of this algorithm is lower. So, it has better property of real time.
noise disturbance image segmentation aero aero-optical effect effects aero degraded image image edge detection point spread function adaptive wiener filter controllable gene image definition estimate function function real time
Lihui Sun Junshan Li Zhi Geng Shijie Zhang
Xi’an Research Inst. Of High High-tech, Xi’an China 710025
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）