Image analysis – Image enhancement or restoration – Image filter
Reexamination Certificate
2004-04-27
2009-06-23
Wu, Jingge (Department: 2624)
Image analysis
Image enhancement or restoration
Image filter
C382S268000, C382S275000, C382S205000, C382S233000
Reexamination Certificate
active
07551792
ABSTRACT:
A method reduces artifacts in an input image. A variance image is generated from the input image. The input image is partitioned into a plurality of blocks of pixels. A set of classifications is defined. The set of classifications includes smooth, texture, and edge. A particular classification is assigned to each block of pixels of the input image according to the variance image, to generate smooth blocks, texture blocks, and edge blocks. A fuzzy filter is applied to each pixel of only each edge block.
REFERENCES:
patent: 5757977 (1998-05-01), Mancuso et al.
patent: 5920356 (1999-07-01), Gupta et al.
patent: 6101276 (2000-08-01), Adiletta et al.
patent: 6167157 (2000-12-01), Sugahara
patent: 6178205 (2001-01-01), Cheung et al.
patent: 6259823 (2001-07-01), Lee et al.
patent: 6320905 (2001-11-01), Konstantinides
patent: 6332136 (2001-12-01), Di Giura et al.
patent: 6496605 (2002-12-01), Osa
patent: 6539060 (2003-03-01), Lee et al.
patent: 2003/0081854 (2003-05-01), Deshpande
patent: 2005166021 (2005-06-01), None
Wei, A.—“Fuzzy ordering theory and its use in the filter generalization”—EURASIP Journal on Applied Signal Processing 2001, pp. 206-218.
Lu, L. —“Full-Reference video quality assessment considering structural distortion and no-reference quality evaluation of MPEG video”—IEEE, 2002, pp. 61-64.
Baturone, I.—Microelectronic design of fuzzy logic based system, CRC Press, United States, 2000, p. 9.
Barner, K.—“Optimized Fuzzy Transformation For Image Deblocking”—IEEE—Jul. 2003, pp. 541-544.
Huang, Y.—“Adaptive MLP Post-Processing For Block-based Coded Images”—IEE Proc. Vis. Image Signal Process, vol. 147, No. 5, Oct. 2000, pp. 463-473.
Lang, et al., “Noise reduction using an undecimated discrete wavelet transform,” Signal Processing Newsletters, vol. 13, Jan. 1996.
Triantafyllidis, et al., “Blocking artifact detection and reduction in compressed data,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, Oct. 2002.
Chen, et al., “Adaptive post-filtering of transform coefficients for the reduction of blocking artifacts,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, May 2001.
Xiong, et al., “A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, No. 2, Aug. 1997.
Paek, et al., “A DCT-based spatially adaptive post-processing technique to reduce the blocking artifacts in transform coded images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, Feb. 2000.
Paek, et al., “On the POCS-based post-processing technique to reduce the blocking artifacts in transform coded images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 8, Jun. 1998.
Arakawa, “Fuzzy rule-based signal processing and its application to image restoration,” IEEE Journal on selected areas in communications, vol. 12, No. 9, Dec. 1994.
Barner Kenneth Eugen
Kong Hao-Song
Nie Yao
Vetro Anthony
Brinkman Dirk
Krasnic Bernard
Mitsubishi Electric Research Laboratories Inc.
Vinokur Gene
Wu Jingge
LandOfFree
System and method for reducing ringing artifacts in images does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for reducing ringing artifacts in images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for reducing ringing artifacts in images will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4087343