TY  - JOUR
T1  - Enhanced Image Processing for Blurred Images Using GA Based Image Extraction
AU - Premchandran, V. AU - Poongodi, P. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 3
SP  - 608
EP  - 613
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.608.613
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.608.613
KW  - Explicitly
KW  -gradient
KW  -experimentally
KW  -image
KW  -India
AB  - We propose a novel method for combined de-blurring and depth estimation in a variation framework.
Our goal is to retrieve a de-blurred image and the corresponding depth map by only using information from a
single blurred image. In many practical applications, for example for defocus or camera motion, the shape of the
blurring remains constant but only its spatial extent is varying. A new blurring model based on this assumption
in which the depth is included explicitly, is introduced. Depth is related to the spatial extent of the blur by
assuming that the stronger an object is blurred, the closer it is to the camera. We also present a reduction of
the model to one-dimensional blurring, as it is present for example in motion blur. The de-blurred image and the
depth map is then estimated variation by means of gradient descent, where a novel partial equation occurs. Our
method is evaluated experimentally and the results that the combination of de-blurring and depth estimation
from just one image is possible.
ER  -