Adaptive wiener filter of aero degraded image based on precise image segmentation

Lihui Sun; Junshan Li; Zhi Geng; Shijie Zhang

doi:10.1117/12.902181

8 December 2011 Adaptive wiener filter of aero degraded image based on precise image segmentation

Lihui Sun, Junshan Li, Zhi Geng, Shijie Zhang

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800318 (2011) https://doi.org/10.1117/12.902181
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

To the problems of blur in aero degraded image due to noise disturbance and aero-optical effects, an adaptive wiener filter algorithm of aero degraded image based on precise image segmentation was proposed. Firstly, edge detection was done to precisely comminute edge region. Then, adaptive wiener filter was done on the premise that point spread function (PSF) submits to Gaussian distributing.thereinto, image definition estimate function was used to dispose controllable gene of algorithm to fulfill adaptive algorithm. Numerical experimental results of aero degraded images and contrasts with other algorithms show that this algorithm is better in detail-preserving and debluring of aero degraded image. Meantime, complexity of this algorithm is lower. So, it has better property of real time.

Citation Download Citation

Lihui Sun, Junshan Li, Zhi Geng, and Shijie Zhang "Adaptive wiener filter of aero degraded image based on precise image segmentation", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800318 (8 December 2011); https://doi.org/10.1117/12.902181

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