Perceptual normalized subband image restoration

Abstract

A perceptual normalized image restoration method is proposed to account for the response sensitivity of the human vision system. A special weighting matrix is introduced to remove perceptual redundancy and achieve excellent visual performance. Our algorithm is based on a biorthogonal interpolating wavelet transform and corresponding filters are generated using Gaussian-Lagrange distributed approximating functionals (DAFs) via a lifting scheme.