An Image Resolution Enhancement Algorithm Using Undecimated Wavelet Transform

Abstract

The image resolution reconstruction is a partial technology in many application including medical imaging, satellite imaging, and video applications. And Wavelet transform is the most exciting development in the last decade. Due to the wavelet representation has characteristics of the efficient time-frequency localization and the multi-resolution analysis, the wavelet transforms are suitable for processing the image resolution enhancement. Therefore, this method focuses on wavelet-based image resolution enhancement and proposes a framework of image resolution enhancement. This paper proposes a wavelet-domain image resolution enhancement algorithm which is based on the estimation of detail wavelet coefficients at high resolution scales. The method exploits shape function according to wavelet coefficient correlation in a local neighborhood and employs undecimated discrete wavelet transform to estimate the unknown detail coefficients. The simulation results objectivity show that the proposed method is considerably superior to conventional image interpolation techniques.