In order to measure the objective efficiency of the image decomposition by morphological pyramid, coding and entropy gains are coputed. Coding gain is the measure of energy compaction of image in frequency domain, which is basic condition for efficient compression. Also, a decomposition will be considered to the more effective if theentropy gain as a measure of enetropy reduction is higher while maintaining the same fidelity measure in the compresed data. To make comparison with linear filters, coding and entropy gains for linear Wavelet filters are also shown, Simulation results show that energy compaction measured by coding gain is some lower using morphological filters while bit rate reduction measured by entropy gain is higher. The choice of optimal decomposition method depends also on optimal coding of subbands and subjective image quality.
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