A Survey on Restoration Techniques of Atmospheric Turbulence Blur Image

Title: A Survey on Restoration Techniques of Atmospheric Turbulence Blur Image
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 4 Issue 2
Authors: Azad Singh and Rajeev Kumar Singh


Abstract

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.

Keywords

Kurtosis, DTCWT (Dual Tree Complex Wavelet Transform), Principal component analysis (PCA) and atmospheric turbulence.

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