Video-based non-uniform object motion blur estimation and deblurring

2012 ◽  
Vol 86 ◽  
pp. 170-178 ◽  
Author(s):  
Xiaoyu Deng ◽  
Yan Shen ◽  
Mingli Song ◽  
Dacheng Tao ◽  
Jiajun Bu ◽  
...  
Keyword(s):  
Motion Blur ◽  
Object Motion ◽  
Blur Estimation

scholarly journals LCD motion-blur estimation using different measurement methods

2009 ◽  
Vol 17 (3) ◽  
pp. 239 ◽  
Author(s):  
Sylvain Tourancheau ◽  
Kjell Brunnström ◽  
Börje Andrén ◽  
Patrick Le Callet
Keyword(s):  
Motion Blur ◽  
Measurement Methods ◽  
Blur Estimation

scholarly journals Model-based motion blur estimation for the improvement of motion tracking

2017 ◽  
Vol 160 ◽  
pp. 45-56 ◽  
Author(s):  
Clemens Seibold ◽  
Anna Hilsmann ◽  
Peter Eisert
Keyword(s):  
Motion Tracking ◽  
Motion Blur ◽  
Model Based ◽  
Blur Estimation

scholarly journals LCD motion-blur estimation using different measurement methods

2009 ◽  
Vol 25 (3) ◽  
pp. 30-30
Author(s):  
Sylvain Tourancheau ◽  
Kjell Brunnström ◽  
Börje Andrén ◽  
Patrick Le Callet
Keyword(s):  
Motion Blur ◽  
Measurement Methods ◽  
Blur Estimation

scholarly journals New Cepstrum Based Image Restoration Algorithm for Grayscale Images

2019 ◽  
Vol 8 (11) ◽  
pp. 1920-1928
Keyword(s):  
Image Restoration ◽  
Heuristic Algorithms ◽  
Bat Algorithm ◽  
Motion Blur ◽  
Hybrid Technique ◽  
Restoration Algorithm ◽  
Blur Estimation ◽  
Blurred Images ◽  
Selection Of ◽  
Grayscale Images

Optimization is the process that relates to finding the most excellent ways for all possible solutions. From last 2-3 decades, natural algorithms play an important role in improving solutions of various problems. By comparing various meta-heuristic algorithms, researchers can make a choice to the best selection of the meta-heuristic algorithms for the proposed problem. In this particular research, we have applied New Cepstrum based technique of image restoration to find out PSF parameters of motion blurred images as a primary technique. In addition, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), BAT Algorithm and GA-BAT hybrid technique etc. are also applied to optimize the blur parameters for calculated by new cepstrum based technique for blur estimation. This aids in analyzing the performance of each algorithm on the same primary technique. The performance analysis of all four algorithms aid in making the decision on the best meta-heuristic algorithm of the cepstrum based technique and to identify the preciseness of the motion blur. All four methods are applied to the same set of images. The algorithm is tested and compared using grayscale images and the benchmarking freely available online datasets, respectivel

Review of Motion Blur Estimation Techniques

2014 ◽  
pp. 176-184 ◽  
Author(s):  
Shamik Tiwari ◽  
V. P. Shukla ◽  
A. K. Singh ◽  
S. R. Biradar
Keyword(s):  
Motion Blur ◽  
Estimation Techniques ◽  
Blur Estimation

Motion blur estimation based on multitarget matching model

2016 ◽  
Vol 55 (10) ◽  
pp. 100502 ◽  
Author(s):  
Victor Karnaukhov ◽  
Mikhail Mozerov
Keyword(s):  
Motion Blur ◽  
Matching Model ◽  
Blur Estimation
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