A quantitative measure for the perception of sharpening and smoothing in images
Judith Dijk, Dick de Ridder, P.W. Verbeek, J. Walraven, Ian Ted Young, Lucas J. van Vliet · Data Archiving and Networked Services (DANS) · 1999
It is well-known that the mean squared error (MSE) is an inappropriate measure for the difference b etween two images in many applications.For one such an application, edge-preserving smoothing, an alternative was developed which takes both goals into account: the preservation or sharpening of edges and the smoothing of regions.In this paper, tests on human subjects are r eported which con rm that the new measures conform reasonably to visual judgement, and better than the MSE.Next to this, preliminary results are given from experiments in which the preference for sharpening and smoothing is investigated.It is found that images with a relatively low smoothing and a high sharpening are p r eferred.