Title :
A variational approach to the radiometric enhancement of digital imagery
Author :
Altas, I. ; Louis, J. ; Belward, J.
Author_Institution :
Centre for Image Anal., Charles Sturt Univ., Wagga Wagga, NSW, Australia
fDate :
6/1/1995 12:00:00 AM
Abstract :
In this correspondence, we present a variational approach to the problem of finding suitable radiometric image transformations that optimize desirable characteristics of the output image histogram. This variational approach can be interpreted as the minimization of the cumulative spacing between histogram bars in the least squares sense subject to some weight function. Most of the common histogram transformation procedures used in remote sensing applications can be deduced from this general variational approach with an appropriate choice of the weight function.<>
Keywords :
image enhancement; least squares approximations; minimisation; radiometry; remote sensing; variational techniques; cumulative spacing; digital imagery; least squares sense; minimization; output image histogram; radiometric enhancement; remote sensing applications; variational approach; weight function; Adaptive equalizers; Bars; Brightness; Data mining; Digital images; Histograms; Layout; Least squares methods; Radiometry; Remote sensing;
Journal_Title :
Image Processing, IEEE Transactions on
