2014 18th International Conference on Information Visualisation (IV) (2014)
July 16, 2014 to July 18, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2014.46
In this paper, a super-resolution technique is proposed that uses a combination of bicubic interpolation and wavelet transform. Bicubic interpolation produces a high resolution image but is prone to blurring artifact. So the blurring artifact is reduced in the wavelet domain. The input low-resolution is up-sampled using bicubic interpolation. The edges of the resultant high-resolution image are enhanced using stationary wavelet transform (SWT). SWT is applied to the image to produce sub-bands of the image and then these sub-bands are modified by multiplying with a boost value. Then these sub-bands are combined using inverse stationary wavelet transform (ISWT) to produce the final high-resolution image. The quantitative and qualitative analysis illustrate that the proposed technique is provides superior results as compared to other existing techniques.
Interpolation, Image edge detection, Conferences, Wavelet transforms, Spatial resolution
F. Arif and T. Sarwar, "Super-Resolution Using Edge Modification through Stationary Wavelet Transform," 2014 18th International Conference on Information Visualisation (IV), Paris, France, 2014, pp. 357-360.