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A New Weighted Average Filter for Removing Camera Shake
| 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
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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