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Removing Camera Shake using Discrete Cosine Transform

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
D. Ramesh Varma, D. Krishna Madhav, K. Rajasekhar

Ramesh D Varma, Krishna D Madhav and K Rajasekhar. Removing Camera Shake using Discrete Cosine Transform. International Journal of Computer Applications 170(9):7-10, July 2017. BibTeX

	author = {D. Ramesh Varma and D. Krishna Madhav and K. Rajasekhar},
	title = {Removing Camera Shake using Discrete Cosine Transform},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {9},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {7-10},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017914801},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Image restoration is one of the burning issues in the field of image processing. Generally, images are corrupted or damaged due to the noise present in the system or due to motion blur while capturing the image. In this paper, a problem of removing blurness in an image which is caused due to camera shake is discussed. The blur Kernel in an image is uneven. Because of this reason, every image in a burst of images is blurred in a different way. In this paper, a new technique is proposed in which burst of images are taken and calculates a weighted average in discrete cosine domain, where the weights depend on their discrete cosine spectrum magnitudes.


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Discrete cosine spectrum, motion blur, camera shake.