Near-lossless image compression: Minimum-entropy, constrained-error DPCM

IEEE Transactions on Image Processing

Volumn 7, Issue 2, 1998, Pages 225-228

  Ke, Ligang ^a   Marcellin, Michael W ^a  

^a University of Arizona   (United States)

Author keywords

Coding; Compression; Entropy; Quantization

Indexed keywords

ALGORITHMS; ERROR COMPENSATION; IMAGE CODING; MATHEMATICAL MODELS; PULSE CODE MODULATION; TRELLIS CODES;

DIFFERENTIAL PULSE CODE MODULATION (DPCM);

IMAGE COMPRESSION;

EID: 0031999333     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.660999     Document Type: Article

References (15)

1. J. Sayre et al., "Effect of data compression on diagnostic accuracy in digital hand and chest radiography," in Proc. SPIE Conf. Medical Imaging VI: Image Capture, Formatting, and Display, Feb. 1992, vol. 1653, pp. 232-240.
2. P. C. Cosman et al., "Thoracic CT images: Effect of lossy image compression on diagnostic accuracy," Radiology, vol. 190, pp. 517-524, Feb. 1994.
3. P. C. Cosman, R. M. Gray, and R. A. Olshen, "Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic accuracy," Proc. IEEE, vol. 82, pp. 919-932, June 1994.
4. ∝ -coding of images: A confidence interval criterion," in Proc. Int. Conf. Image Processing, Austin, TX, Nov. 1994, vol. II, pp. 888-892.
5. K. Chen and T. V. Ramabadran, "Near-lossless compression of medical images through entropy-coded DPCM," IEEE Trans. Med. Imag., vol. 13, pp. 538-548, Jan. 1994.
6. P. Santago, "Using convex sets for image synthesis in enhancement and compression," in Proc. SPIE Conf. Medical Imaging: Image Processing, Newport Beach, CA, Feb. 1994, vol. 2167, pp. 526-534.
7. M. J. Weinberger, G. Seroussi, and G. Sapiro, "LOCO-I: A low complexity, context-based, lossless image compression algorithm," in Proc. DCC'96, Snowbird, UT, Mar. 1996, pp. 140-149.
8. G. G. Langdon Jr. and C. A. Haidinyak, "Experiments with lossless and virtually lossless image compression algorithms," in Proc. SPIE: Still-Image Compression, vol. 2418, pp. 21-27, Feb. 1995.
9. X. Wu, N. Memon, and K. Sayood, "A context-based, adaptive, lossless/nearly-lossless coding scheme for continuous-tone images," in ISO/IEC JTC 1/SC 29/WG 1 Doc. 202, July 1995.
10. G. G. Langdon, Jr. and J. Rissanen, "Compression of black-white images with arithmetic coding," IEEE Trans. Commun., vol. COMM-29, pp. 858-867, June 1981.
11. T. V. Ramabadran and K. Chen, "The use of contextual information in the reversible compression of medical images," IEEE Trans. Med. Imag., vol. 11, pp. 185-195, June 1992.
12. H. Lee, Y. Kim, and S. Oh, "Lossless compression of medical images by prediction and classification," Opt. Eng., vol. 33, pp. 160-166, Jan. 1994.
13. N. S. Jayant and P. Noll, Digital Coding of Waveforms - Principles and Applications to Speech and Video. Englewood Cliffs, NJ: Prentice-Hall, 1984.
14. G. D. Forney, Jr., "The Viterbi algorithm," Proc. IEEE, vol. 61, pp. 268-278, Mar. 1973.
15. I. H. Witten, R. M. Neal, and J. G. Cleary, "Arithmetic coding for data compression," Commun. ACM, vol. 30, pp. 520-540, June 1987.