Chapter 6. Image Restoration

Summary

This chapter starts with the restoration of images that are geometrically distorted. It then proceeds to deal with the restoration of the grey level distortions of an image using linear techniques. It first shows how the point spread function of the degradation process may be defined covering cases like blurring due to linear and accelerated motion, and the use of calibration charts of sharp step edges. Inverse filtering, Wiener filtering in 2D and constrained matrix inversion are dealt with in depth using numerous fully worked out examples. All methods are compared by being applied to the same image in the presence or absence of noise.