Title :
Image de-blocking with wavelet-based multiresolution analysis and spatially variant OS filters
Author :
Rabiee, H.R. ; Kashyap, R.L.
Author_Institution :
Media & Interconnect Technol. Lab., Intel Corp., Hillsboro, OR, USA
Abstract :
A novel approach for de-blocking of block based image and video compression algorithms is presented. In our algorithm a blocky image is first decomposed into approximation and detail subspaces with a J-level multiresolution analysis (MRA). In the next step, the low-pass approximation image and the high-pass detail images are processed independently with spatially adaptive order statistic (OS) filters. The proposed algorithm can effectively eliminate or reduce the blocking artifacts and is computationally efficient
Keywords :
adaptive filters; adaptive signal processing; data compression; filtering theory; image resolution; nonlinear filters; statistical analysis; transform coding; video coding; wavelet transforms; approximation subspaces; blocking artifacts reduction; blocky image decomposition; computationally efficient algorithm; detail subspaces; discrete wavelet transform; high-pass detail images; image de-blocking; low-pass approximation image; nonlinear filtering; spatially adaptive order statistic filters; spatially variant OS filters; video compression algorithms; wavelet-based multiresolution analysis; Adaptive filters; Algorithm design and analysis; Approximation algorithms; Image analysis; Kernel; Low pass filters; Multiresolution analysis; Operating systems; Video compression; Wavelet analysis;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647770
