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Abstract:
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Digital Image Processing is a rapidly evolving eld with growing applications
in Science and Engineering. It involves changing the nature
of an image in order to either improve its pictorial information
for human interpretation or render it more suitable for autonomous
machine perception. One of the major areas of image processing
for human vision applications is image enhancement. The principal
goal of image enhancement is to improve visual quality of an image,
typically by taking advantage of the response of human visual
system.
Image enhancement methods are carried out usually in the pixel
domain. Transform domain methods can often provide another way
to interpret and understand image contents. A suitable transform,
thus selected, should have less computational complexity. Sequency
ordered arrangement of unique MRT (Mapped Real Transform)
coe cients can give rise to an integer-to-integer transform, named
Sequency based unique MRT (SMRT), suitable for image processing
applications. The development of the SMRT from UMRT (Unique
MRT), forward & inverse SMRT algorithms and the basis functions
are introduced. A few properties of the SMRT are explored and its
scope in lossless text compression is presented. |