Extracting High Quality Information From Under Sampled Images with Relative Motion Blur Using Non-blind Restoration Techniques: A Survey

Document Type : Original Article

Authors

1 Technical Research Department.

2 Egyptian Armed Forces.

Abstract

Image degraded due motion blur is an ill-posed problem that still attracts many researchers to participate in solving such problem. The degraded image might suffer linear or nonlinear motion blur. It may also be due to the camera motion (spatial space invariant) or due to the motion of the target to be captured (spatially space variant). This paper focuses on images degraded due to linear motion blur due to the camera motion. A survey was done over several kernel estimation techniques such as Cepstral and Sinc function whom are classified under parameter estimation approach, and Fergus[1] and Krishnan[2] techniques who are classified under MAPh (Maximum A Posteriori over the kernel h) estimation approach. Experiments were applied over images samples suffering a synthetic blur and restored with several image restoration algorithms.

Keywords

Files

Share

How to cite

Statistics