Share Email Print
cover

Proceedings Paper

Adaptive wiener filter of aero degraded image based on precise image segmentation
Author(s): Lihui Sun; Junshan Li; Zhi Geng; Shijie Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 8 December 2011
PDF: 8 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800318 (8 December 2011); doi: 10.1117/12.902181
Show Author Affiliations
Lihui Sun, Xi'an Research Institute of High-tech (China)
Junshan Li, Xi'an Research Institute of High-tech (China)
Zhi Geng, Xi'an Research Institute of High-tech (China)
Shijie Zhang, Xi'an Research Institute of High-tech (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

© SPIE. Terms of Use
Back to Top