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(12) United States Patent ao) Patent No.: us 6,804,405 B2
Christopoulos et al. (45) Date of Patent: Oct. 12,2004
(54) METHOD AND A SYSTEM FOR CODING ROIS
(75) Inventors: Charilaos Christopoulos, Sollentuna (SE); Joel Askelof, Uppsala (SE); Mathias Larsson, Saltsjobaden (SE)
(73) Assignee: Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
( * ) Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. 154(b) by 0 days.
(21) Appl. No.: 09/827,313
(22) Filed: Apr. 6, 2001
(65) Prior Publication Data
US 2002/0126906 Al Sep. 12, 2002
Related U.S. Application Data
(63) Continuation of application No. PCT/SE99/01785, filed on Oct. 6, 1999.
(30) Foreign Application Priority Data
Oct. 9, 1998 (SE) 9803454
(51) Int. C I. G06K 9/36
(52) U.S. CI 382/243; 382/240; 382/248
(58) Field of Search 382/239, 240,
382/243, 232, 244, 248, 251; 375/240.19,
(56) References Cited
U.S. PATENT DOCUMENTS
4,698,689 A 10/1987 Tzou 358/426.14
4,903,317 A 2/1990 Nishihara et al 382/244
5,001,561 A 3/1991 Haskell 375/240.02
5,196,933 A 3/1993 Henot 375/240.05
5,333,212 A 7/1994 Ligtenberg 382/250
5,339,108 A 8/1994 Coleman et al 375/240.2
5,363,138 A 11/1994 Hayashi et al 348/390.1
In a method and a system for encoding and transmission of still images having at least one region of interest (ROI), the ROI coefficients of an image transformed into the frequency domain, preferably using a wavelet transform are encoded so that they are transmitted first and can be decoded by a receiver without transmission of the boundary of the ROI. In a preferred embodiment the coefficients belonging to the ROI are shifted so that the minimum ROI coefficient is larger than the largest background coefficient. A receiver can then perform an opposite procedure and thereby obtain the ROI. By specifying how much the coefficients need to be shifted in order to avoid sending shape information several advantages are achieved. Thus, it is possible to avoid sending shape information and to avoid shape encoding at encoder side. Furthermore, there is no need for a shape decoder at receiver side, and there is no need for the receiver to produce the ROI mask. Also, in another preferred embodiment, the shifting (or scaling operations) required at encoder and decoder are also avoided.
43 Claims, 4 Drawing Sheets
OBTAIN I (QUANT.) L MAX COEFF.
ISO/IEC JTC 1/SC 29/WG 1 N988, Oct. 5, 1998, C. Christopoulos, JPEG 2000 Verification Model Version 2.0/ 2.1.
Proceedings of the SPIE Conference on Visual Communications and Image Processing, vol. 2094 Part 2, 1993, A. Said et al., "Reversible image Compression via Multiresolution Representation and Predictive Coding", pp. 664-674. Signal Processing, vol. 59, No. 2, Jun. 1997, J. Strom et al., "Medical Image Compression With Lossless Regions Of Interest", pp. 155-171.
International Search Report PCT/SE98/01809.
Vlahakis et al. "ROI Approach To Wavelet-Based, Hybrid
Compression Of MR Images", Image Processing and Its
Applications, 1997, Sixth International Conference, vol. 2,
Jul. 14-17, 1997, pp. 833-837.
U.S. patent application Ser. No. 09/532,768 filed Mar. 22, 2000, Nister et al.
U.S. patent application Ser. No. 09/534,118 filed Mar. 23, 2000, Christopoulos et al.
Xiong et al., "ADCT-Based Embedded Image Coder" IEEE Signal Processing Letters, vol. 3, Issue 11, Nov. 96, pp. 289-290.
Nguyen-Phi et al. "DWT Image Compression Using Contextual Bitplane Coding of Wavelet Coefficients", Acoustics, Speech and Signal Processing, 1997, ICASSP-97, 1997 IEEE International Conference, vol. 4, Apr. 21-24, 1997, 2969-2972.
Laurance et al. "Embedded DCT Coding with Significance Masking" Acoustics, Speech, and Signal Processing, 1997, ICASSP 97, 1997 IEEE International Conference, vol. 4, Apr. 21-24, 1997, pp. 2717-2720.
Panagiotidis et al., "Region-of-Interest Based Compression of Magnetic Resonance Imaging Date", Proceedings/IWISP '96, Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence, Edited by Mertzios et al., Nov. 4—7, 1996, pp. 31-35.
Atsumi et al. "Lossy/Lossless Region-of-Interest Image
Coding Based on Set Partitioning in Hierarchical Trees"
ISO/IEC JTC 1/SC 29/WG 1N839, Mar. 23, 1998.
V. Heer et al., A Comparison of Reversible Methods for Data
Compression, SPIE, vol. 1233 Medical Imaging IV: Image
Processing, 1990, pp. 354-365.
* cited by examiner