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ABSTRACT: A technique employing artificial neural networks for
post-processing block coded images is presented. Visually important
image features are extracted from the decompressed image and used as
input to a feedforward neural network. The neural network learns to
reconstruct the difference image between the original (uncompressed) and
the decompressed image. Coding artifact reduction is achieved by adding
the neural networks output to the decompressed image. Experimental
results using the new technique for post-processing quadtree coded
images are presented. It is shown the new technique can significantly
improve the compressed image both in terms of peak signal to noise ratio
(PSNR) and visual quality of the image
Image Processing and Its Applications, 1997., Sixth International Conference on; 08/1997
