Image analysis – Histogram processing – For setting a threshold
Reexamination Certificate
2005-12-13
2005-12-13
Wu, Jingge (Department: 2623)
Image analysis
Histogram processing
For setting a threshold
C382S239000
Reexamination Certificate
active
06975742
ABSTRACT:
A method of image compression includes digitizing an image and segmenting the image in a plurality of different manners to generate a plurality of segmented images. Each of the segmented images is compressed. The method further includes determining a bit rate for each of the compressed images, and determining how much image distortion results from each compression, Finally, the manner of segmentation which results in an optimal compromise between the rate and distortion is selected.
REFERENCES:
patent: 5535013 (1996-07-01), Murata
patent: 5682249 (1997-10-01), Harrington et al.
patent: 6236757 (2001-05-01), Zeng et al.
patent: 6553072 (2003-04-01), Chiang et al.
patent: WO 97/15146 (1997-04-01), None
Schuster et al. “An optimal segmentation encoding scheme in the rate-distortion sense” IEEE International Symposium on ISCAS 1996, “connected World”, vol. 2, pp. 640-643, May 1996.
H. Cheng and C.A. Bouman, “Document Compression Using Rate-Distortion Optimized Segmentation,”Journal of Electronic Imaging,pp. 1-33, Jul. 1999.
H. Cheng and C.A. Bouman, “Multilayer Document Compression Algorithm,” Proceedings of the International Conference on Image Processing, Kobe Japan, Oct. 25-28, 1999.
H. Cheng and C.A. Bouman, “word: Segmentation Which Optimizes the Rate-Distortion Function,” IT Workshop on Detection, Estimation, Classification, and Imaging, Santa Fe, NM, Feb. 24-26, 1999.
K. Konstantinides and D. Tretter, “A Method for Variable Quantization in JPEG for Improved Text Quality in Compound Documents,”IEEE, pp. 565-568, 1998.
H. Cheng and C. A. Bouman, “Trainable Context Model for Multiscale Segmentation,”IEEE, pp. 610-614, 1998.
M. Effros and P.A. Chau, “Weighted Universal Bit Allocation: Optimal Multiple Quantization Matrix Coding,”IEEE, pp. 2343-2346, 1995.
K. Ramchandran and M. Vetterli, “Rate-Distortion Optimal Fast Thresholding with Complete JPEG/MPEG Decoder Compatibility,”IEEE, pp. 700-704, 1994.
C.A. Bouman and M. Shapiro, “A Multiscale Random Field Model for Bayesian Image Segmentation,”IEEE, pp. 162-177, 1994.
A. Ortega and K. Ramchandran, “Rate-Distortion Methods for Image and Video Compression,”IEEE Signal Processing Magazine, pp. 23-50, 1998.
A. Said and W. A. Pearlman, “A New, Fast, and Efficient Image Codec Based on Set partitioning in Hierarchical Trees,”IEEE, pp. 243-250, 1996.
P. G. Howard, et al., “The Emerging JBIG2 Standard,”IEEE, pp. 838-848, 1998.
M. T. Orchard and C. A. Bouman, “Color Quantization of Images,”IEEE, pp. 2677-2690, 1991.
De Queiroz, et al., “Optimizing Block-Thresholding Segmentation for Multilayer Compresssion of Compound Images,” IEEE Transactions on Image Processing, IEEE Inc. New York, US, vol. 9, No. 9, Sep. 2000, pp. 1461-1471.
Reusens, et al., “Dynamic Approach to Visual Data Compression, ” IEEE Transactions on Circuits and Systems for Video Technology, IEEE Inc., New York, US, vol. 7, No. 1, Feb. 1, 1997, pp. 197-210.
Fay Sharpe Fagan Minnich & McKee LLP
Wu Jingge
Xerox Corporation
LandOfFree
Rate-distortion optimization system and method for image... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Rate-distortion optimization system and method for image..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Rate-distortion optimization system and method for image... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3478356