Title :
Blocking effect removal using robust statistics and line process
Author :
Yang, Seungjoon ; Hu, Yu-Hen ; Tull, D.L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
The Gibbs distribution with spatially adaptive clique potential functions is used as the image prior distribution in the coding artifact reduction problem. Unlike previous approaches, the image is divided in regions based on the local statistics and a clique potential function is assigned for each region. A non-differentiable potential function that preserves edge in detailed image regions is introduced. Images recovered by the proposed approach contain reduced coding artifact and improved preservation of details
Keywords :
adaptive signal processing; data compression; discrete cosine transforms; edge detection; image coding; image segmentation; maximum likelihood estimation; statistical analysis; transform coding; DCT; Gibbs distribution; MAP estimation; blocking effect removal; coding artifact reduction; detail preservation; edge preservation; image compression standards; image prior distribution; image recovery; image regions; line process; local statistics; nondifferentiable potential function; robust statistics; spatially adaptive clique potential functions; Codecs; Decoding; Discrete cosine transforms; Image coding; Image quality; Quantization; Robustness; Statistical distributions; Statistics; Transform coding;
Conference_Titel :
Multimedia Signal Processing, 1999 IEEE 3rd Workshop on
Conference_Location :
Copenhagen
Print_ISBN :
0-7803-5610-1
DOI :
10.1109/MMSP.1999.793855
