We present a tutorial review of recent developments in restoring
images that are degraded by both blur and noise. We consider three
fundamental aspects of digital image restoration: modeling, identification
algorithms, and restoration algorithms. An overview of modeling the degradations,
and certain properties of images are given first. We then survey
the methods that identify these models. Image restoration algorithms are
surveyed in two categories: general algorithms and specialized algorithms.
We briefly discuss present and future research topics in the field.
Our emphasis here is on fundamental concepts and ideas rather than