Image enhancement is most crucial preprocessing
step of digital image processing. It is used to enhance features
of digital image in order to improve its visual appearance and
to make it more suitable for autonomous machine perception.
Image enhancement is subjective process of improvement
and is application dependent. Apart from visible region,
digital images can also be created from remaining
electromagnetic spectrum like x-rays, infrared rays, gamma
rays etc. The improvement of digital image can be done by
removing noise, enhancing contrast and by removing
blurring. In this paper, review and comparison of different
existing image enhancement techniques in spatial and
frequency domain have been done and conclusion will be
made that in which application or condition a particular
enhancement technique can be used.
Palwinder Singh : He is pursuing PhD from Punjab technical
university, Punjab. He has done master in computer application
from guru nanak dev university, Amritsar in 2010. He is more than
5 years of experience in teaching and research. He has already
published more than 10 research papers in various national and
international journals and conferences.
Enhancement, Contrast, Histogram, Spatial
Domain, Frequency Domain
Image enhancement algorithms offer a wide variety of
approaches for modifying images to achieve visually
acceptable images. The choice of such techniques is a
function of the specific task, image content, observer
characteristics, and viewing conditions. The review of
Image enhancement techniques in Spatial domain have
been successfully accomplished and is one of the most
important and difficult component of digital image
processing and the results for each method are also
discussed.
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