Abstract
Image enhancement is the
process of applying these techniques to facilitate the development of a
solution to a computer imaging
problem. Consequently, the enhancement methods are application specific
and are often developed empirically. The type of techniques includes point
operations, where each pixel is modified according to a particular equation
that is not dependent on other pixel values; mask operations, where each pixel
is modified according to the values of the pixel's neighbors or global
operations, where all the pixel values in the image are taken into
consideration. Spatial domain processing methods include all three types, but
frequency domain operations, by nature of the frequency transforms, are global
operations. Of course, frequency domain operations can become "mask
operations," based only on a local neighborhood, by performing the transform
on small image blocks instead of the entire image Enhancement is used as a
preprocessing step in some computer vision applications to ease the vision
task, for example, to enhance the edges of an object to facilitate guidance of
a robotic gripper.Image enhancement is used for post processing to generate a
visually desirable image. Overall, image enhancement methods are used to make images look better. So “Image
Enhancement Is As Much An Art As It Is A Science.”
No comments:
Post a Comment