Abstract
The new technique we proposed in this paper based
on Hidden Markov Model in the field of post compression rate
distortion algorithms certainly meet the requirements of high
quality still images. The existing technology has been
extensively applied in modern image processing. Development
of image compression algorithms is becoming increasingly
important for obtaining a more informative image from several
source images captured by different modes of imaging systems
or multiple sensors. The JPEG 2000 image compression
standard is very sensitive to errors. The JPEG2000 system
provides scalability with respect to quality, resolution and
color component in the transfer of images. But some of the
applications need certainly qualitative images at the output
ends. In our architecture the Proto-object also introduced as
the input ant bit rate allocation and rate distortion has been
discussed for the output image with high resolution. In this
paper, we have also discussed our novel response dependent
condensation image compression which has given scope to go
for this post compression Rate Distortion Algorithm (PCRD)
of JPEG 2000 standard. This proposed technique outperforms
the existing methods in terms of increasing efficiency,
optimum PSNR values at different bpp levels. The proposed
technique involves Hidden M arkov M odel to meet the
requirements for higher scalability and also to increase the
memory storage capacity.
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