A DWT-SWT based Image Super Resolution with Multi Surface Fitting
Autor: | T. Ramakrishnaiah, Gogireddy Sneha |
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Rok vydání: | 2014 |
Předmět: |
Discrete wavelet transform
Image fusion Lifting scheme Computer science business.industry Second-generation wavelet transform Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Top-hat transform Wavelet transform Cascade algorithm Pattern recognition Wavelet packet decomposition Wavelet Computer vision Artificial intelligence Harmonic wavelet transform business Image resolution S transform Continuous wavelet transform Constant Q transform Interpolation |
Zdroj: | International Journal of Computer Applications. 103:9-13 |
ISSN: | 0975-8887 |
DOI: | 10.5120/18149-9399 |
Popis: | paper, an image super-resolution technique is proposed which is based on interpolation of high frequency sub-band images obtained by Discrete Wavelet Transform on input image. In those sub-bands edges are enhanced by introducing an intermediate stage by using Stationary Wavelet Transform. The wavelet transform is applied in order to decompose image into different sub-bands. In those sub-bands, the high frequency sub-bands are interpolated and then these estimated high frequency sub-bands are modified by using high frequency sub-bands obtained through SWT. These all sub- bands are fused to generate a new high resolution by using inverse Wavelet transform techniques. The proposed results depict the conventional and state of art image resolution enhancement techniques. |
Databáze: | OpenAIRE |
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