Article
Contrast Enhancement Based on a Morphological Rational Multiscale Algorithm
Fecha
2011-03-08Registro en:
Revista Computación y Sistemas; Vol. 14 No. 3
1405-5546
Autor
Peregrina Barreto, Hayde
Terol Villalobos, Iván R.
Institución
Resumen
Abstract. Contrast enhancement is an important task in
image processing and it is commonly used as a preprocessing
step in order to improve the results for other
tasks such as segmentation. However, not only do some
methods for contrast improvement have good
performance working on low contrast regions, but they
also affect good contrast regions; owing to the fact that
some elements could be vanished, representing a loss of
information. A method focused on images with different
luminance conditions is introduced in the present work.
The proposed method is based on morphological filters by
reconstruction and rational operations, which together,
allow a uniform contrast enhancement. Furthermore, due
to the properties of these morphological transformations,
the creation of new elements on image is avoided. The
processing was made on luminance values in the u’v’Y’
color space, which permits to keep the chrominance and
to avoid the creation of new colors. As a result of the
previous considerations, the proposed method keeps the
natural color appearance of the image.