Blur Kernel Estimation by Using Bees Algorithm

Abstract

Camera shake is a common source of degradation in
digital images taken by an unmanned air vehicle (UAV).
Usually, blur kernel is used to reduce the taken image. Blur
kernel means the map of camera shake while photo is taken.
Estimating an unknown blur kernel from a single input blurred
image is a severely ill-posed problem. Blind image deblurring
means deblurring with an unknown blur kernel. Blind image
deblurring algorithms have been improving continuously in the
past years. Most state-of-the-art algorithms still cannot perform
perfectly in most cases. In this paper, we focus on how to
estimate a good blur kernel from a single blurred image by
using Bees Algorithm (BA). We become aware of using BA is a
good way to estimate an unknown blur kernel. BA is firstly used
for image deblurring in this paper.