Volume XXXIX-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 519-524, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-519-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 519-524, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-519-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  01 Aug 2012

01 Aug 2012

RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE

F. Yao, H. Hu, and Y. Wan F. Yao et al.
  • School of Remote Sensing Information and Engineering, Wuhan University, Luoyu Road, Wuhan, China

Keywords: Remote sensing images, dodging, Mask, image quality, assessment

Abstract. The remote sensing image dodging algorithm based on Mask technique is a good method for removing the uneven lightness within a single image. However, there are some problems with this algorithm, such as how to set an appropriate filter size, for which there is no good solution. In order to solve these problems, an improved algorithm is proposed. In this improved algorithm, the original image is divided into blocks, and then the image blocks with different definitions are smoothed using the low-pass filters with different cut-off frequencies to get the background image; for the image after subtraction, the regions with different lightness are processed using different linear transformation models. The improved algorithm can get a better dodging result than the original one, and can make the contrast of the whole image more consistent.