• M.Vasudeva Reddy
• Dr.T.Ramashri

Haze in remotely sensed images usually degrades the visual information, which paves way for the development haze removal algorithms to improve visual multispectral information. The literature reveals that haze removed images have problems like colour distortion, halo artifacts, etc. To overcome these problem, the concepts of wavelet transforms are used in this paper to restore the haze free images. As the haze is mostly distributed in the lower frequencies which as a layer may contain the components of land cover which are stable both spatially and temporally, the use of Discrete Wavelet Transform proves to be appropriate for dehaing. The experimental results reveal that this approach provides visually significant haze-free images by preserving the significant details.

Haze, Dehazing, Discrete Wavelet Transform, Dark Channel Prior, Haar wavelet.

"Dehazing of Satellite images using DWT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.742-745, June 2019, Available :http://www.jetir.org/papers/JETIR1907860.pdf

"Dehazing of Satellite images using DWT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp742-745, June 2019, Available at : http://www.jetir.org/papers/JETIR1907860.pdf