Background: The area of image processing extends from basic image compression model
to high end applications such as astronomical data processing and medical image processing. Images
have vast features and coding them into lower bit rates results in the loss of information.
Methods: This study proposes a novel hybrid approach to compress the image no loss of information
and to maintain reduced processing overhead.
Discussion: To validate the proposed approach, the suggested method is tested on different medical
samples and the obtained results are compared with results retrived through the conventional JPEG
based coding approach.
Conclusion: The experimental results show that the proposed approach performs efficiently and can
be implemented in realworld applications.
Keywords: Image compression, coefficients learning, learning based coding, probabilistic decision algorithm, hybrid approach,
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