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DCT information recovery of erroneous image blocks by a neural predictor

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3 Author(s)
F. G. B. De Natale ; DICA, Trento Univ., Italy ; C. Perra ; G. Vernazza

In this paper, the problem of DCT information recovery in the transmission of coded visual data over packet networks is addressed. The loss of a packet conveying coded block data leads to the unsuccessful reconstruction of the relevant area, with consequent degradation of the received image quality. The proposed method allows recovery of a subset of the missing DCT coefficients sufficient to achieve good reconstruction quality of the lost block, based on the available surrounding information. To this purpose, a neural predictor was carefully designed and suitably trained with an appropriate set of synthetic and natural patterns. An extensive testing phase, performed on a large set of images with different frequency characteristics, revealed that the method provides very good reconstruction capabilities.

Published in:

IEEE Journal on Selected Areas in Communications  (Volume:18 ,  Issue: 6 )