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@article{143602,
        author = {Bandi Prathyusha},
        title = {An improved Wavelet Lifting based Image Super Resolution},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {12},
        pages = {457-461},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143602},
        abstract = {Ever since over three decades, computers have been extensively used for processing and exhibiting images. The capability to process visual information from a super resolution image can improve the information present in the image. The inspiration is from a human eye which takes in raw images (noisy, blurred and translated) and constructs a super resolution image. In this technique lifting wavelet transform and stationary wavelet transform is used to increase the spatial resolution .The wavelet domain filters support to model the regularity of natural images while the edge details of image get sharper while up sampling. An iterative back projection method is used to reconstruct the high resolution image in an efficient iterative manner.},
        keywords = {Superresolution, lifting wavelet transform, stationary wavelet transform.},
        month = {},
        }