Image Super-Resolution Reconstruction Based on Phase Correlation and Wavelet TransformReportar como inadecuado




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The image super-resolution for image sequence of the global motion is proposed. It uses trilinear interpolation and phase correlation of Fourier transform to yield subpixel registration, Then the high resolution wavelet coefficients are fused and the high resolution are obtained by inverse transform. The results of the experiment show that the proposed method possesses more details form the high frequency coefficients, reduces the complexity of calculation, and obtains a super-resolution image with good visual quality.

KEYWORDS

super-resolution; waveletform; phase correlation; image fusion

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Autor: Xiaoyan Ruan, Xiangning Chen, Mengnan Gao

Fuente: http://www.scirp.org/



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