Image compression
3-D two level wavelet transform
3-D two level multi-wavelet transform
3-D two level hybrid technique
Image data properties.
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In this paper three techniques for image compression are implemented. The proposed
techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D
two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet
transform) technique. Daubechies and Haar are used in discrete wavelet transform and
Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to
maintain to increase the compression ratio (CR) with respect to increase the level of the
transformation in case of 3-D transformation, so, the compression ratio is measured for each
level. To get a good compression, the image data properties, were measured, such as, image
entropy (He), percent root-
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