An improved algorithm of mask image dodging for aerial image

Zuxun Zhang; Songbai Zou

doi:10.1117/12.901869

23 November 2011 An improved algorithm of mask image dodging for aerial image

Zuxun Zhang, Songbai Zou

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80060S (2011) https://doi.org/10.1117/12.901869
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

The technology of Mask image dodging based on Fourier transform is a good algorithm in removing the uneven luminance within a single image. At present, the difference method and the ratio method are the methods in common use, but they both have their own defects .For example, the difference method can keep the brightness uniformity of the whole image, but it is deficient in local contrast; meanwhile the ratio method can work better in local contrast, but sometimes it makes the dark areas of the original image too bright. In order to remove the defects of the two methods effectively, this paper on the basis of research of the two methods proposes a balance solution. Experiments show that the scheme not only can combine the advantages of the difference method and the ratio method, but also can avoid the deficiencies of the two algorithms.

Citation Download Citation

Zuxun Zhang and Songbai Zou "An improved algorithm of mask image dodging for aerial image", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060S (23 November 2011); https://doi.org/10.1117/12.901869

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