PDE based unsharp masking, crispening and high boost filtering of digital images

Abstract

A partial differential equation (PDE) based technique is proposed and implemented to perform unsharp masking, crispening and high boost filtering of digital images. The traditional concept of unsharp masking and crispening of edges which uses Laplacian as intermediate step for smoothening the image has been extended and modified using the idea of Perona and Malik [1] which overcomes the disadvantages of Laplacian method. For descretization, finite differences scheme has been used. The scheme has been implemented using MATLAB 7.0 and performance is tested for various gray images of different resolutions and the obtained results justify the applicability of proposed scheme. © 2009 Springer Berlin Heidelberg.