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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Image Super Resolution Based on Interpolation of Wavelet Domain High Frequency Subbands and the Spatial Domain Input Image

  • Anbarjafari, Gholamreza (Department of Electrical and Electronic Engineering, Eastern Mediterranean University) ;
  • Demirel, Hasan (Department of Electrical and Electronic Engineering, Eastern Mediterranean University)
  • Received : 2009.05.27
  • Accepted : 2010.01.12
  • Published : 2010.06.30
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Abstract

In this paper, we propose a new super-resolution technique based on interpolation of the high-frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The proposed technique uses DWT to decompose an image into different subband images. Then the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new super-resolved image by using inverse DWT. The proposed technique has been tested on Lena, Elaine, Pepper, and Baboon. The quantitative peak signal-to-noise ratio (PSNR) and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques. For Lena's image, the PSNR is 7.93 dB higher than the bicubic interpolation.

Keywords

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