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Image enhancement using nonuniform sampling

This paper describes the application of a lossy digital image compression scheme to synthetic image enhancement for image scaling. The lossy compression scheme employed is a non-uniform sampling and interpolation algorithm. During image analysis, more sample points are taken from complex regions than from simple regions of the image. Upon resynthesis, missing samples are interpolated. One consequence of the algorithm is that it imparts a structure to the image. The utility of this structure to several methods of subsequent enhanced image scaling by the addition of synthetic resolution is described. These techniques are well suited to image systems where scalable and extensible resolution are desirable features.