Over the last decade perceptually based image compression has
gained significant importance. This is because it relies on Human
Visual Perception (HVP) in measuring the reconstruction quality in
the compression process. as humans arc the end users for images.
Visual data that is perceived by humans can he characterized in terms
of three parameters, Magnitude, Phase and Orientation of the spatial
frequency content. While existing perceptually based image
compression techniques exploits the first parameter, the novel
contribution of this paper is its focus on the use of phase data for
perceptually based texture compression. In this paper a HVS based
texture characterization approach is applied to measure the perceived
(by humans) phase coherence in the image. Then images are more
compressed after removing the unperceived phase redundancy.
Finally subjective tests are performed to measure the reconstruction
quality of the proposed compression approach. The proposed
compression algorithm has been applied in the JPEG2000
framework. Simulation results that demonstrate the efficiency of the
proposed approach are presented.