Object-based wavelet transform (OWT) is a simple but effective algorithm for compressing arbitrarily-shaped objects in an image. It consists of two steps: spatial domain smoothing to delete the information in the unwanted regions, and the suppression of the corresponding wavelet coefficients. In this communication, we propose a new spatial domain smoothing technique, which consists of interpolating the values of the unwanted regions linearly, to reduce the effects of sharp edges that may be otherwise created. It is demonstrated that the proposed method leads to better peak signal to noise ratio (PSNR) of the reconstructed image for a given number of bits used.
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