Research on Lossless Predictive Coding Methods for Stereo Images

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Abstract:

There exists very high correlation between left-view images and right-view images of stereo image pairs. The correlation can help to reduce the stereoscopic image coding bit rate. Proposed methods first estimate the disparity by using causal neighborhood pixels. And then a prediction method which combines inter-view prediction with intra-view prediction is used to obtain a better predictive coding method for target-view images. The reference-view images are then encoded by using those commonly used prediction coding method. The experimental results show that compared with those methods using only intra-view correlation, the proposed method can obtain lower code rate.

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406-412

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. Weinberger,G. Seroussi, and G. Sapiro: The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS. IEEE Transactions on Image Processing, Vol. 9(8) (2000), p.1309–1324.

DOI: 10.1109/83.855427

Google Scholar

[2] X. Mu, and N. Memon: Context-based adaptive lossless image coding. IEEE Transactions on Communications, Vol. 45(4) (1997), pp.437-444.

DOI: 10.1109/26.585919

Google Scholar

[3] X. Li, M.T. Orchard: Edge-Directed Prediction for Lossless Compression of Natural Images. IEEE Transactions on Image Processing, Vol. 10(6) (2001), p.813–817.

DOI: 10.1109/83.923277

Google Scholar

[4] Xiaolin Wu, Guangtao Zhai: Adaptive Sequential Prediction of Multidimensional Signals with Applications to Lossless Image Coding. IEEE Transactions on Image Processing, Vol. 20(1) (2011), p.36–42.

DOI: 10.1109/tip.2010.2061860

Google Scholar

[5] Yong Zhang and Donald A. Adjeroh: Prediction by Partial Approximate Matching for Lossless Image Compression. IEEE Transactions on Image Processing, Vol. 17(6) (2008), p.924–935.

DOI: 10.1109/tip.2008.920772

Google Scholar

[6] Pekka Toivanen , Olga Kubasov: Correlation-Based Band-Ordering Heuristic for Lossless Compression of Hyperspectral Sounder Data. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, Vol. 2(1) (2005), pp.50-54.

DOI: 10.1109/lgrs.2004.838410

Google Scholar

[7] Xiaolin Wu, Nasir Memon: Context-Based Lossless Interband Compression—Extending CALIC. IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol. 9(6) (2000), pp.994-1001.

DOI: 10.1109/83.846242

Google Scholar

[8] Dania Brunello, Giancarlo Calvagno, etc: Lossless Compression of Video Using Temporal Information. IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol. 12(2) (2003), pp.132-141.

DOI: 10.1109/tip.2002.807354

Google Scholar

[9] A. Benazza-Benyahia, J. -C. Pesquet: Vector-lifting schemes for lossless coding and progressive archival of multispectral images. IEEE Trans. Image Process, Vol. 40(9) (2002), p.2011-(2024).

DOI: 10.1109/tgrs.2002.803845

Google Scholar

[10] M. Kaaniche et al: Vector Lifting Schemes for Stereo Image Coding. IEEE Trans. Image Process, Vol. 18(11) (2009), pp.2463-2475.

DOI: 10.1109/tip.2009.2026672

Google Scholar

[11] M.S. Moellenhoff, M.W. Maier: Transform coding of stereo image residuals. IEEE Trans. Image Processing, Vol. 7(6) (1998), pp.804-812.

DOI: 10.1109/83.679421

Google Scholar

[12] N.V. Boulgouris, M.G. Strintzis: A Family of Wavelet-Based Stereo Image Coders. IEEE Trans. Circuits Syst. Video Technol., Vol. 12(10) (2002), pp.898-904.

DOI: 10.1109/tcsvt.2002.804895

Google Scholar

[13] E.A. Edirisinghe, M.Y. Nayan, H.E. Bez: A wavelet implementation of the pioneering block-based disparity compensated predictive coding algorithm for stereo image pair compression. Signal Processing: Image Communication, Vol. 19(1) (2004).

DOI: 10.1016/j.image.2003.08.016

Google Scholar