Super-resolution image restoration algorithm based on orthogonal discrete wavelet transform

摘要

By using orthogonal discrete wavelet transform (ODWT) and generalized cross validation (GCV), and combining with Luck- Richardson algorithm based on Poisson- Markov model (MPML), several new super-resolution image restoration algorithms are proposed. According to simulation experiments for practical images, all the proposed algorithms could retain image details better than MPML, and be more suitable to low signal-to-noise ratio (SNR) images. The single operation wavelet MPML (SW-MPML) algorithm and MPML algorithm based on single operation wavelet transform (MPML-SW) avoid the iterative operation of self-adaptive parameter in MPML particularly, and improve operating speed and precision. They are instantaneous to super-resolution image restoration process and have extensive application foreground.