利用小波和二阶总广义变分的图像放大方法

doi:10.3969/j.issn.1001-2400.2013.06.026

Abstract

Abstract:

A new image zooming model combining the wavelet and second order total generalized variation is proposed. The original image is regarded as the wavelet low-frequency band for the zoomed image, and the high-frequency bands are estimated. Further processing is implemented for the zoomed image using the second order total generalized variation. The second order total generalized variation may lead to an absence of the staircase effect and keep most details, and therefore, the high quality image is reconstructed. Finally, experimental results have illustrated that our algorithm not only can achieve better zooming but also can produce a very satisfactory denoising effect.

Key words: wavelet analysis, second order total generalized variation, image zooming, denoising

WU Yulian;FENG Xiangchu. Combining the wavelet and second order total generalized variation for the image zooming algorithm[J].J4, 2013, 40(6): 155-161.

References

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Combining the wavelet and second order total generalized variation for the image zooming algorithm

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