Abstract
An image coding algorithm is developed which exploits some of the desirable features of the spatial and the transform domains for image data compression. This scheme is based on a two-component source model similar to some previous results [1 ,2] , but has been generalized to include two-dimensional interpolation and transform coding. Rather than processing successive scan lines of image intensity, this algorithm approximates the image intensity over adjacent subpictures using a two-dimensional polynomial and codes the residual intensities using a discrete cosine transform (DCT). Compression results with rates in the 0.5 to 1.0 bits per pixel range are demonstrated by reconstructed images and rate-distortion characteristics.
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