Title :
Coding artifacts reduction using edge map guided adaptive and fuzzy filtering
Author :
Kong, Huo-Song ; Nie, Yuo ; Vetro, Anthony ; Sun, Huifang ; Barner, K.E.
Author_Institution :
Mitsubishi Electr. Res. Labs, Cambridge, MA
Abstract :
The 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 artifact detection and then applies adaptive filtering to the corrupted blocks. Both visual artifact detection and filtering are guided by an edge map which is constructed based on local features. A 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 artifact reduction and detail preservation. Experiments demonstrate better results compared with other methods
Keywords :
adaptive filters; edge detection; fuzzy systems; image coding; image restoration; object detection; adaptive filtering; blocking artifact reduction; coding artifact reduction; detail preservation; edge map; edge preservation; fuzzy filtering; fuzzy identity filter; ringing artifact reduction; visual artifact detection; Adaptive filters; Feature extraction; Image coding; Image edge detection; Information filtering; Information filters; Low pass filters; Pixel; Quantization; Sun;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394417