Title: A Survey on Restoration Techniques of Atmospheric Turbulence Blur Image
Publisher: Guru Nanak Publications
Series: Volume 4 Issue 2
Authors: Azad Singh and Rajeev Kumar Singh
Image restoration is a technique used
to recover blur image from observed image.
Image may be distorted due to blur and noise;
blur can occur due to atmospheric turbulence,
motion of objects and camera mis-focus.
Atmospheric blur is the distortion of image due
to long time exposure, fog, wind speed and due to
randomly change in refractive index of air
through which light travels. Atmospheric blur
also occur through non-uniform geometric
deformation of image. Atmospheric blur image
restoration can be divided in two stages: first
stage is restoration and second stage is post
processing of image. The estimation of point
spread function of atmospheric turbulence image
is very challenging without knowing prior
knowledge of clear image. Thence it is very
difficult to restore image using point spread
function (PSF). In this paper, we discuss about
some existing techniques which are helpful to
reduce the turbulence effect.
Kurtosis, DTCWT (Dual Tree Complex Wavelet Transform), Principal component analysis (PCA) and atmospheric turbulence.