Literature Review on X-Ray Image Enhancement

Abstract

In common, a raw X-ray image holds bad
quality of the image if obtained directly
coming out of a digital flat detector. It isn't
satisfactory for treatment planning as well as
diagnosis. For this image, enhancement is
required. There are distinct ways through
which image enhancement takes place. It is
one of the preprocessing techniques helpful for
moving further into treatment planning.
Common methodologies like N-CLAHE
which works with local enhancement and
global enhancement can make an image look
more extensive and more realistic. This
technique consists of two main steps. Firstly,
intensity correction of the raw image is
encountered by the log-normalization
function which adjusts the intensity contrast
of the image dynamically. Secondly, the
Contrast Limited Adaptive Histogram
Equalization (CLAHE) method is used for
enhancing small details,texture and local
contrast of the images. For purpose of the
survey, light is thrown on some of the wellknown developed models, the strategies used,
and the shortcomings which were
encountered in the development. This review
will help researchers to further make
advancements in this field