Abstract
Motivated by wavelet transform, this paper presents a pyramid linear prediction coding (PLPC) algorithm for digitial images. The algorithm outputs the rough contour of an image and a prediction error sequence. In contrast to the conventional linear prediction method, PLPC exhibits very little sensitivity to channel errors and provides a more efficient compression performance. The results of simulations with Lena 512 × 512 and bitrates ranging from 0.17 to 3.2 (lossless)bits/pixel are given to show that the PLPC method is very suitable for the human visual perception.
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References
Baronti S., Casini A., Lotti F. and Alparone L., Content-Driven Differential Encoding of an Enhanced Image Pyramid. Signal Processing: Image Communication, 6, 463–469. (1994)
Burt P. J. and Adelson E. H., The Laplacian Pyramid as a Compact Image Coder. IEEE Trans. Commun., Com-31, 632–640. (1983)
Meer P., Baugher E. S. and Rosenfeld A., Frequency Domain Analysis and Synthesis of Image Pyramid Generating Kernels. IEEE Trans. Pattern Anal. Mach. Intelligence, PAMI-9(4), 512–522. (1987)
Unser M., An Improved Least Squares Laplacian Pyramid for Image Compression. Signal Processing, 27(2), 187–203. (1992)
Bellifemine F. et al., Combining DCT and Subband Coding into an Intraframe Coder. Signal Processing: Image Commun., 5, 235–248. (1993)
Coppisetti N., Kwatra S. C. and Al-Asmari A. K., Low Complexity Subband Encoding for HDTV Images. IEEE J. on Selected Areas in Commun., 11(1), 77–87. (1993)
Gharavi H. and Tabatabei A., Subband Coding of Chrome and Color Images. IEEE Trans. Circuits and Systems, 35(2), 207–214. (1988)
Irie K. and Kishmoto R., A Study on Perfect Reconstructive Subband Coding. IEEE Trans. Circuits and Systems for Video Technology, 1(1), 42–48. (1991)
Chen K. and Ramabadran T. V., Near-Lossless Compression of Medical Image Through Entropy-Coded DPCM. IEEE Trans. Medical Image, 13(3), 538–548. (1994)
Daubechies I., Orthonormal Bases of Compactly Supported Wavelets. Commun. Pure Appl. Math., 41, 909–996. (1988)
Daubechies I., The Wavelet Transform, Time-Frequency Localization and Signal Analysis. IEEE Trans. Inform. Theory, 36(6), 961–1005. (1990)
Grossman A. and Morlet J., Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape. SIAM, J. Math. Anal., 15(4), 723–736. (1984)
Mallat S. G., A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. IEEE Trans. Pattern Analysis and Machine Intelligence, 11(7), 674–693. (1989)
Vetterli M. and Herly C., Wavelets and Filter Banks: Theory and Design. IEEE Trans. Signal Processing, 40(9), 2207–2232. (1992)
Meyer Y., Wavelets: Algorithm and Applications, Translated by R. D. Ryan, SIAM Philadelphia, 1993.
Feher K., Adavanced Digital Communications: Systems and Signal Processing Techniques, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1987.
Gao W., Compression Techniques for Multi-media Data, Electronic Industry Publishing House, Beijing, 1994.
Jain A. K., Image Data Compression: A Review. Proc. IEEE, 69(3), 349–389. (1981)
“Draft Revised Recommendation H.261-Video code for audio visual service at 64kbits/s”, CCITT, 1990.
“MPEG Video Commitee Draft”, MPEG Video CD Editorial Committee, 1990.
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Zhu, G., Zhao, F. & Jiang, F. Pyramid linear prediction coding for images. J. of Shanghai Univ. 1, 155–158 (1997). https://doi.org/10.1007/s11741-997-0014-4
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DOI: https://doi.org/10.1007/s11741-997-0014-4