Abstract:
Images play a vital role in scientific research. The images which we capture are different
in nature, few images are bad in quality because of bad circumstances like bad
lightening, undesirable conditions, error in capturing device itself etc. contrast enhancementplays an important role for better visualization, to get suitable results and
for the improvement of quality of image.
In this thesis we proposed a technique for the contrast enhancement of both types of
images the color images as well as gray scale images. The proposed method calculate
two parameters statistics and phase congruency of the image. Furthermore we use
optimal histogram method which is RIQMC based and histogram equalization which
is non parametric is used to perform the contrast enhancement. Added to this, we
presented two methodologies, purpose of one is the brightness of the image remain
preserve and other is used to adaptively increase its brightness.
Subjective comparison is performed by considering the improved contrast and absence
of useless artifacts. Analyses of the contrast enhancement images are also perform
by the quantitative measure. Simulation results on the different images conclude the
significance of our proposed model.
