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

Super-resolution image restoration algorithms based on ODWT are proposed. Poisson-Luck-Richardson super-resolution image restoration algorithm based on Bayes statistical analysis theory supposes that the image has Poisson distribution, and adopts maximum-likelihood theory to estimate blurred images. The algorithm that used a priori information about the object, is applicable to linear and nonlinear imaging models with a unique solution when noise is not severe. Images with ordinary signal to noise ratio of 10∼20 could not be recovered well by the algorithm in practice.