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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:

          Wavelet-like tools decompose the source mages into only three high-pass sub bands, and the limited high-pass sub bands.

          The MSD coefficients only know the local relationship in a small region but not any of the global relationship between the two corresponding high-pass sub bands.

PROPOSED CONCEPT:

          Shearlet transform provides better image representations since the source images can be decomposed into more than three high-pass sub bands in each level.

          Global relationship between two high-pass sub bands can be described by the Kullback–Leibler distance (KLD).

EXISTING TECHNIQUE:

          Laplacian pyramid transform

          Wavelet transform

PROPOSED ALGORITHM:

          3-D Shearlet Transform Technique

          Kullback–Leibler distance Algorithm

TECHNIQUE DEFINITION:

          A Laplacian pyramid is a technique in image processing and uses the concept of pyramids.

          The fundamental idea of wavelet transforms is that the transformation should allow only changes in time extension, but not shape.

ALGORITHM DEFINITION:

          The Kullback Leibler distance (KL-distance) is a natural distance function from a "true" probability distribution to a "target" probability distribution.

          Shearlet are a multiscale framework which allows to efficiently encoding anisotropic features in multivariate problem classes.

DRAWBACKS:

          Only implemented in two dimensional (2-D) spaces.

          Only three high pass sub bands in each level by the wavelet transform, losing the directional sensitivity.

ADVANTAGES:

          Our method is applied in the 3-D Shearlet transform space.

          More features information and directional sensitivity in different sub bands can be captured.