Filtering And Enhancement Based On Properties Of Human Perception

We have developed over the past few years new linear filtering methods for images which incorporate the use of properties of human vision in design. These methods apply to noise removal, image enhancement and image restoration. One interesting extension of our work is to the use of the anisotropy of vision to achieve better visual quality. In this paper we propose combining several of these processing tasks at once, by taking advantage of visual perception and of the image content information that can be estimated directly from the image. We present a brief overview of the image filtering techniques using properties of vision that we have developed and discuss the basis on which several processing tasks can be combined for the same image. We discuss briefly the approach taken to the implementation of such multistep algorithms on dedicated pipeline image processors.