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A Fast Aerial Image De-haze Algorithm

WANG Jingdong1,2, ZHANG Wentao1, WANG Zirui1   

  1. 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Luoyang Electro-optic Equipment Research Institute, Aviation Industry Corporation of China, Luoyang 471000, China
  • Received:2012-04-27 Revised:2012-10-10 Online:2013-03-25 Published:2013-03-29
  • Supported by:

    National Natural Science Foundation of China (61074161)

Abstract:

An image matting algorithm is employed in order to alleviate the block effect of the image transmission which is generated during conducting the dark channel prior. However, the image de-haze process is very time-consuming as the matting algorithm is of huge computational complexity. A fast algorithm for image haze removal is therefore proposed in which the Kuwahara edge-and-corner preserving filter is used to estimate the atmospheric scattering light and the Kuwahara filter is adapted. By increasing the number of sub-blocks and adjusting the local weight coefficients, etc., the edge preservation is improved and the block effect is restrained, which leads to an accurate media transmission rate. The experimental result shows the algorithm has a low time complexity, while the visual effect of the image is satisfactory after the de-haze restoration.

Key words: image restoration, filter, image de-haze, dark channel prior, edge-and-corner preserving filter

CLC Number: