DWT and sparse representation based image super resolution

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16845

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DC Field	Value	Language
dc.contributor.author	Bhatt, Upendra Mohan	-
dc.date.accessioned	2025-01-21T09:04:00Z	-
dc.date.available	2025-01-21T09:04:00Z	-
dc.date.issued	2016	-
dc.identifier.uri	https://www.semanticscholar.org/paper/DWT-and-Sparse-Representation-Based-Image-Super-Bhatt-Bahuguna/780838870bb837bb8360ae76604545b1f6dd6f18	-
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16845	-
dc.description.abstract	Spatial resolution of images are restricted by the size of CMOS sensors. Spatial resolution can be increased by increasing no of COMS sensors resulting in decrease in size of CMOS sensors which cause shot noise. In this paper attempts have been made to enhance the spatial resolution of different images. DWT is applied to obtain the sub bands and sparse representation is used to get the better results. Bicubic interpolation is being applied in the intermediary stage and HR image is retrieved through this method and the result of this method is being compared with some other state of the art works and this work shows better result than other super resolution algorithms based on image quality parameter PSNR and MSE	en_US
dc.language.iso	en	en_US
dc.subject	EEE	en_US
dc.subject	CMOS sensors	en_US
dc.subject	HR image	en_US
dc.title	DWT and sparse representation based image super resolution	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Electrical and Electronics Engineering

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