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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
Year of Publication: 2016
M. V. R. V. Prasad, K. Srinivas, G. Prasanna Kumar

M V R V Prasad, K Srinivas and Prasanna G Kumar. A New Weighted Average Filter for Removing Camera Shake. International Journal of Computer Applications 156(9):23-26, December 2016. BibTeX

	author = {M. V. R. V. Prasad and K. Srinivas and G. Prasanna Kumar},
	title = {A New Weighted Average Filter for Removing Camera Shake},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {9},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {23-26},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2016912546},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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.


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Blur, burst, Discrete Wavelet