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A New Weighted Average Filter for Removing Camera Shake

by M. V. R. V. Prasad, K. Srinivas, G. Prasanna Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 9
Year of Publication: 2016
Authors: M. V. R. V. Prasad, K. Srinivas, G. Prasanna Kumar
10.5120/ijca2016912546

M. V. R. V. Prasad, K. Srinivas, G. Prasanna Kumar . A New Weighted Average Filter for Removing Camera Shake. International Journal of Computer Applications. 156, 9 ( Dec 2016), 23-26. DOI=10.5120/ijca2016912546

@article{ 10.5120/ijca2016912546,
author = { M. V. R. V. Prasad, K. Srinivas, G. Prasanna Kumar },
title = { A New Weighted Average Filter for Removing Camera Shake },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 9 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number9/26738-2016912546/ },
doi = { 10.5120/ijca2016912546 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:10.017831+05:30
%A M. V. R. V. Prasad
%A K. Srinivas
%A G. Prasanna Kumar
%T A New Weighted Average Filter for Removing Camera Shake
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 9
%P 23-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image blurring is one of the major problems in the field of digital image processing. Generally, camera shake causes blurring. As a result, uneven blur kernel is present in the image which is random in nature. Therefore, every image in the burst is blurred in a different way. Deblurred image can be obtained using single image or multiple images. A clean sharp image is recovered by fusing the group of images without calculating the blurring kernel. In this paper, a new technique called a new weighted average filter is introduced for removing camera shake using single or multiple images. This technique takes a burst of images and calculates a weighted average in the Discrete Wavelet domain, where the weights of images depend on their Discrete Wavelet Spectrum magnitudes.

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Index Terms

Computer Science
Information Sciences

Keywords

Blur burst Discrete Wavelet

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