Super Resolution Image Restoration Algorithm : Based on Wavelet and Interpolation
Zeng Xiuyun, Huacai Lu, Zhang Chen-Yan · 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) · 2020
Aiming at the problem of face image restoration, a super resolution image restoration algorithm based on wavelet and bicubic interpolation is proposed. Low-resolution image is decomposed by wavelet transform. Then, the high frequency sub images of the original low-resolution image are interpolated in the wavelet transform domain, and the high-resolution image is obtained by the bicubic interpolation of the low-resolution image. The experimental results show that the image restoration algorithm based on wavelet and bicubic interpolation is better than the traditional interpolation algorithms (nearest neighbor interpolation, bilinear interpolation, bicubic interpolation) in face image restoration.