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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