Published 12 issues per year
ISSN Print: 0040-2508
ISSN Online: 1943-6009
Indexed in
Super-Resolution Method Based on Wavelet Atomic Functions in Images and Video Sequences
ABSTRACT
A novel method for super resolution in the grayscale images and video sequences is introduced. In difference with conventional approaches, where the procedures use small pixels spatial information in the vicinity around the positions of the interpolation, a new framework employs the spatial spectral properties of an image or sequence applying wavelet transform technique. Novel wavelets based on atomic functions, which are used here, have shown good properties of resolution by extension of an image size up to 4 times in comparison with the original low resolution image reconstructing three new pixels should be estimated for each one existing pixel. Numerous statistical simulations have demonstrated the effectiveness of the novel technique, exposing an excellent subjective visual quality, as well as significant improvement of super resolution image in terms of objective criteria in comparison with better existing algorithms.
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Kravchenko V. F., Kravchenko O. V., Pustovoit V. I., Churikov D. V., Yurin A. V., Atomic and WA-systems and R-functions applied in modern radio physics problems: Part II, Journal of Communications Technology and Electronics, 60, 2, 2015. Crossref
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Ponomaryov V., Gomeztagle F., Kravchenko V., Resolution enhancement based on wavelet atomic functions, 2011 17th International Conference on Digital Signal Processing (DSP), 2011. Crossref
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Lin Rimao, Su Binghua, Wu Xiaobing, Xu Fangxin, Image Super Resolution Technique Based on Wavelet Decomposition Implemented on OMAP3530 Platform, 2011 Third International Conference on Multimedia Information Networking and Security, 2011. Crossref
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Kravchenko Victor, Perez Meana Hector, Ponomaryov Volodymyr, Churikov Dmitry, Spectral Estimation of Digital Signals by the Orthogonal Kravchenko Wavelets $\{\widetilde{h_{a}(t)}\}$, in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 5856, 2009. Crossref
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Hernandez-Matamoros Andres, Fujita Hamido, Escamilla-Hernandez Enrique, Perez-Meana Hector, Nakano-Miyatake Mariko, Recognition of ECG signals using wavelet based on atomic functions, Biocybernetics and Biomedical Engineering, 40, 2, 2020. Crossref