ABSTRACT
This chapter reviews some of applications of linear 2-D digital filters in the areas of image and seismic data processing. It examines two techniques for the enhancement of images. The chapter describes a well-known constrained least-squares estimation approach to image restoration. It discusses the application of 2-D fan filters for the processing of seismic data. Image enhancement is the process by which an image is manipulated or transformed in order to extract useful information from it, to improve visual effect of the image, or to change it into some form that is more suitable for further analysis. Transducer and transmission noise in an image tends to be spatially independent, and, therefore, its energy content is usually concentrated at frequencies higher than that of the image. An alternative approach to image smoothing is to use the DFT in conjunction with analog-filter approximations. Many image-related applications such as pattern recognition and machine vision require images of objects with enhanced edges.
