Abstract
Lossy compression of noise-free and noisy images differs from each other. While in the first case image quality is decreasing with an increase of compression ratio, in the second case coding image quality evaluated with respect to a noise-free image can be improved for some range of compression ratios. This paper is devoted to the problem of lossy compression of noisy images that can take place, e.g., in compression of remote sensing data. The efficiency of several approaches to this problem is studied. Image pre-filtering is shown to be expedient for coded image quality improvement and/or increase of compression ratio. Some recommendations on how to set the compression ratio to provide quasioptimal quality of coded images are given. A novel DCT-based image compression method is briefly described and its performance is compared to JPEG and JPEG2000 with application to lossy noisy image coding.
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References
Salomon, D.: Data Compression. The Complete Reference, 3rd edn. Springer, Heidelberg (2004)
Wei, D., Odegard, J.E., Guo, H., Lang, M., Burrus, C.S.: Simultaneous Noise Reduction and SAR Image Data Compression Using Best Wavelet Packet Basis. In: Proceedings of International Conference on Image Processing, vol. 3, pp. 200–203 (1995)
Mittal, M.L., Singh, V.K., Krishnan, R.: Wavelet Transform Based Technique for Speckle Noise Suppression and Data Compression for SAR Images. In: Proceedings of the Fifth International Symposium on Signal Processing and Applications, pp. 781–784 (1999)
Chan, T.C.L., Hsung, T.C., Lun, D.P.K.: Improved MPEG-4 Still Texture Image Coding under Noisy Environment. IEEE Transactions on Image Processing 12(5), 500–508 (2003)
Kim, S.D., Jang, S.K., Kim, M.J., Ra, J.B.: Efficient Block-based Coding of Noisy Images by Combined Pre-filtering and DCT. Electronic Letters 35(20), 1717–1719 (1999)
Al-Shaykh, O.K., Mersereau, R.M.: Lossy Compression of Noisy Images. IEEE Transactions on Image Processing 7(12), 1641–1652 (1998)
Al-Shaykh, O.K., Mersereau, R.M.: Restoration of Lossy Compressed Noisy Images. IEEE Transactions on Image Processing 8(10), 1348–1360 (1999)
Sabelkin, M.V., Ponomarenko, N.N.: MM-Band Radar Image Wavelet Compression with Prefiltering. In: Proceedings of Kharkov Symposium on Millimeter and Sub-millimeter Waves MSMW, vol. 1, pp. 280–282 (2001)
Chang, S.G., Yu, B., Vetterli, M.: Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. on Image Processing 9(9), 1532–1546 (2000)
Venkatraman, M., Kwon, H., Nasrabadi, N.M.: Object-Based SAR Image Compression Using Vector Quantization. IEEE Trans. on Aerospace and Electronic Systems AES-36(4), 1036–1046 (2000)
Koh, S.S., Kim, C.H.: Fractal Image Coding Based on the Accurate Estimation of Image Parameters from Noise Image. In: Proceedings of IEEE International Conference on Multimedia and Expo, pp. 1159–1162 (2001)
Ponomarenko, N.N., Lukin, V.V., Egiazarian, K.O., Astola, J.T.: DCT Based High Quality Image Compression. In: Scandinavian Conference on Image Analysis (2005) (accepted )
Egiazarian, K., Helsingius, M., Kuosmanen, P., Astola, J.: Removal of blocking and ringing artifacts using transform domain denoising. In: Proc. of ISCAS 1999, vol. 4, pp. 139–142 (1999)
Egiazarian, K., Melnik, V., Lukin, V., Astola, J.: Local transform-based denoising for radar image processing. In: Proc. SPIE Nonlinear Image Processing and Pattern Analysis XII, vol. 4304, pp. 170–178 (2001)
Ponomarenko, N.N., Lukin, V.V., Abramov, S.K., Egiazarian, K.O., Astola, J.T.: Blind evaluation of additive noise variance in textured images by nonlinear processing of block DCT coefficients. In: Proc. of IS&T/SPIE International Conference on Image Processing: Algorithms and Systems, SPIE, vol. 5014, pp. 178–189 (2003)
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Ponomarenko, N., Lukin, V., Zriakhov, M., Egiazarian, K., Astola, J. (2005). Lossy Compression of Images with Additive Noise. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_48
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DOI: https://doi.org/10.1007/11558484_48
Publisher Name: Springer, Berlin, Heidelberg
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