TR2004-056

Coding Artifact Reduction Using Edge Map Guided Adaptive and Fuzzy Filter


    •  Kong, H.-S., Nie, Y., Vetro, A., Sun, H., Barner, K.E., "Coding Artifact Reduction Using Edge Map Guided Adaptive and Fuzzy Filter", IEEE International Conference on Multimedia and Expo (ICME), June 2004.
      BibTeX TR2004-056 PDF
      • @inproceedings{Kong2004jun,
      • author = {Kong, H.-S. and Nie, Y. and Vetro, A. and Sun, H. and Barner, K.E.},
      • title = {Coding Artifact Reduction Using Edge Map Guided Adaptive and Fuzzy Filter},
      • booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
      • year = 2004,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2004-056}
      • }
  • MERL Contacts:
  • Research Area:

    Digital Video

Abstract:

This paper presents a new adaptive approach for blocking and ringing artifact reduction. In order to avoid smearing of the image details, the proposed method first performs visual artifacts detection and then applies adaptive filtering to the corrupted blocks. Both visual artifacts detection and filtering are guided by an edge map which is contructed based on the local features. The fuzzy identity filter is used for image de-ringing. Since it possesses a good edge preserving property and the filtering operation is applied to the edge blocks only (smooth and textured blocks are unaltered), the proposed method shows great effectiveness of both artifacts reduction and detail preservation. Experiments demonstrate better results compared with the other methods.

 

  • Related News & Events

    •  NEWS    ICME 2004: 5 publications by Anthony Vetro, Ajay Divakaran and Huifang Sun
      Date: June 27, 2004
      Where: IEEE International Conference on Multimedia and Expo (ICME)
      MERL Contacts: Anthony Vetro; Huifang Sun
      Brief
      • The papers "Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure" by Peker, K.A. and Divakaran, A., "Effective and Efficient Sports Highlights Extraction Using the Minimum Description Length Criterion in Selecting GMM Structures" by Xiong, Z., Radhakrishnan, R., Divakaran, A. and Huang, T.S., "Time Series Analysis and Segmentation Using Eigenvectors for Mining Semantic Audio Label Sequences" by Radhakrishnan, R., Xiong, Z., Divakaran, A. and Memon, N., "Towards Maximizing the End-User Experience" by Divakaran, A., Vetro, A. and Kan, T. and "Coding Artifact Reduction Using Edge Map Guided Adaptive and Fuzzy Filter" by Kong, H.-S., Nie, Y., Vetro, A., Sun, H. and Barner, K.E. were presented at the IEEE International Conference on Multimedia and Expo (ICME).
    •