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DWT and sparse representation based image super resolution

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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


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