DWT and sparse representation based image super resolution

dc.contributor.authorBhatt, Upendra Mohan
dc.date.accessioned2025-01-21T09:04:00Z
dc.date.available2025-01-21T09:04:00Z
dc.date.issued2016
dc.description.abstractSpatial 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 MSEen_US
dc.identifier.urihttps://www.semanticscholar.org/paper/DWT-and-Sparse-Representation-Based-Image-Super-Bhatt-Bahuguna/780838870bb837bb8360ae76604545b1f6dd6f18
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16845
dc.language.isoenen_US
dc.subjectEEEen_US
dc.subjectCMOS sensorsen_US
dc.subjectHR imageen_US
dc.titleDWT and sparse representation based image super resolutionen_US
dc.typeArticleen_US

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