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Abstract ADAPTIVE ANISOTROPIC FILTERING (AAF) FOR REAL-TIME VISUAL ENHANCEMENT OF MPEG-CODED VIDEO SEQUENCES (2002)
BibTeX
@MISC{Atzori02abstractadaptive,
author = {L. Atzori and F. G. B. De Natale and F. Granelli and Luigi Atzori and Francesco G. B and De Natale and Fabrizio Granelli and Student Member},
title = {Abstract ADAPTIVE ANISOTROPIC FILTERING (AAF) FOR REAL-TIME VISUAL ENHANCEMENT OF MPEG-CODED VIDEO SEQUENCES},
year = {2002}
}
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Abstract
Current standards for video compression achieve good performances in terms of data compaction and signal to noise ratio of the decoded signal. Nevertheless, there are some known problems concerning the visual quality of reconstructed images, which can be partially solved using appropriate post-processing algorithms. The paper proposes a new adaptive anisotropic filter (AAF) that aims at unifying the treatment of different sources of perceptive distortion in MPEG sequences. The process is driven by a local classification of blocks and single pixels of decoded frames, taking into account several parameters (distribution of DCT coefficient energy, presence of sharp variations, spatial position of DCT block boundaries). Experimental results show that the proposed algorithm outperforms existing enhancement approaches, in particular when constraints on complexity and real-time processing are compelling. 1.
Keyphrases
abstract adaptive anisotropic filtering mpeg-coded video sequence real-time visual enhancement decoded frame video compression visual quality real-time processing enhancement approach data compaction good performance dct block boundary reconstructed image local classification new adaptive anisotropic filter single pixel different source appropriate post-processing algorithm spatial position perceptive distortion mpeg sequence dct coefficient energy account several parameter current standard decoded signal experimental result sharp variation
