Title :
A directional shock diffusion approach to single image super-resolution
Author :
Zuofeng Zhou ; Guoliang Fan
Author_Institution :
Xi´an Opt. & Precision Mech., Xi´an, China
Abstract :
We present a directional shock diffusion approach to single image super-resolution(SR) that is featured by two special treatments to image primitives including edges, corners and junctions. The first is to incorporate an adaptively weighted shock filter to recover the edge sharpness along with the structure-sensitive diffusion terms, and the second is to perform structure oriented diffusion that aims to preserve smooth boundary contours and sharp corners by using multiple orientation estimation. Experimental results show that proposed approach outperforms recent methods for both noiseless and noisy cases on several commonly used image databases.
Keywords :
adaptive filters; image resolution; visual databases; SR; adaptively weighted shock filter; directional shock diffusion approach; edges; image databases; image primitives; junctions; multiple orientation estimation; noiseless cases; noisy cases; sharp corners; single image superresolution; smooth boundary contours; structure oriented diffusion; structure-sensitive diffusion terms; Electric shock; Estimation; Image edge detection; Image resolution; Noise level; PSNR; Partial differential equation (PDE); directional diffusion; multiple orientation estimation; noisy image SR;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738174