International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 156 - Issue 9 |
Published: Dec 2016 |
Authors: M. V. R. V. Prasad, K. Srinivas, G. Prasanna Kumar |
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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 }, year = { 2016 }, volume = { 156 }, number = { 9 }, pages = { 23-26 }, doi = { 10.5120/ijca2016912546 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A M. V. R. V. Prasad %A K. Srinivas %A G. Prasanna Kumar %T A New Weighted Average Filter for Removing Camera Shake%T %J International Journal of Computer Applications %V 156 %N 9 %P 23-26 %R 10.5120/ijca2016912546 %I Foundation of Computer Science (FCS), NY, USA
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.