Ëèòåðàòóðà

 

1.        Oliver, C. Understanding Synthetic Aperture Radar Images [Òåêñò]/ C. Oliver, S. Quegan – SciTech Publishing. – 2004. – 464 ð.

2.        Quasi–optimal compression of noisy optical and radar images [Òåêñò] / V. Lukin, N. Ponomarenko, M. Zriakhov, A. Zelensky, K. Egiazarian, J. Astola // Proc. of SPIE Conference “Image and Signal Processing for Remote Sensing XII”. – 2006. – Vol. 6365. – 12 p.

3.        Zeng, Z. SAR Image Data Compression Using a Tree–Structured Wavelet Transform [Òåêñò] / Z. Zeng, I.G. Cumming // IEEE Transactions on Geoscience and Remote Sensing. – 2001. – Vol. 39, No 3. – P. 546 – 552.

4.        Adaptive DCT–based filtering of images corrupted by spatially correlated noise [Òåêñò] / V. Lukin, N. Ponomarenko, K. Egiazarian, J. Astola // Proceedings of SPIE Conference Image Processing: Algorithms and Systems, 28 January 2008. – San Jose, 2008. – Vol. 6812. – 12 p.

5.        Al–Chaykh, O.K. Restoration of Lossy Compressed Images [Òåêñò] / O.K. Al–Chaykh, R.M. Mer­se­reau // IEEE Transactions on Image Processing. – 1999. – Vol. 8 (10). – P. 1348 – 1360.

6.        Wallace, G. JPEG still image compression standard [Òåêñò] / G. Wallace // Communications of the ACM – Special issue on digital multimedia systems. – 1991. – Vol. 34, No 4. – P. 30 – 44.

7.        Said, A. A new fast and efficient image codec based on the partitioning in hierarchical trees [Òåêñò] / A. Said, W. Pearlman // IEEE Transactions on Circuits System and Video Technology. – 1996. – Vol. 6. – P. 243 – 250.

8.        Valade, C. Homomorphic Wavelet Transform and New Subband Statistics Models for SAR Image Compression [Òåêñò] / C. Valade, J.M. Nicolas // IEEE Transactions on Signal Processing. – 2006. – Vol. 86, No 3. – P. 533–548.

9.        Al–Chaykh, O.K. Lossy compression of noisy images [Òåêñò] / O.K. Al–Chaykh, R.M. Mersereau // IEEE Transactions on Image Processing. – 1998. – Vol. 7 (12). – P. 1641 – 1652.

10.    Lossy compression of images with additive noise [Òåêñò] / N.N. Ponomarenko, V.V. Lukin, M.S. Zriakhov, K. Egiazarian // Proceedings International Conference on Advanced Concepts for Intelligent Vision Systems. – 2005. – P. 381 – 386.

11.    Lossy Compression of Noisy Images Based on Visual Quality: a Comprehensive Study [Òåêñò] / N. Ponomarenko, S. Krivenko, V. Lukin, K. Egiazarian, J. Astola // Open access paper in: EURASIP Journal on Advances in Signal Processing. – 2010. – 13 p. – Article ID 976436.

12.    An Automatic Approach to Lossy Compression of Images Corrupted by Poisson Noise [Òåêñò] / V.V. Lukin, M.S. Zriakhov, N.N. Ponomarenko, A. Ka­arna // Processing Microwaves, Radar and Remote Sensing Symposium MRRS–2008, 22–24 Sept. 2008. – Kiev, 2008. – P. 139 – 142.

13.    Îñîáåííîñòè ñæàòèÿ èçîáðàæåíèé ïðè ñèãíàëüíî–çàâèñèìûõ ïîìåõàõ [Òåêñò] / Ì.Ñ. Çðÿõîâ, Ñ.Ñ. Êðèâåíêî, Ñ.Ê. Àáðàìîâ, Í.Í. Ïîíîìàðåíêî, Â.Â. Ëóêèí // Àâèàöèîííî-êîñìè÷åñêàÿ òåõíèêà è òåõíîëîãèÿ. – 2011. – ¹ 2/79. – Ñ. 87 – 95.

14.    Lossy compression of images corrupted by mixed Poisson and additive noise [Òåêñò] / V. Lukin, S. Krivenko, M. Zriakhov, N. Ponomarenko, S. Abra­mov, A. Kaarna, K. Egiazarian // Proceedings of LNLA, August 2009. – Helsinki, 2009. – P. 33 – 40.

15.    Compression of noisy Bayer pattern color filter array images [Òåêñò] / N. Ponomarenko, A. Bazhyna, K. Egiazarian, V. Lukin // Proceedings of SPIE Photonics West Symp., Jan. 2007. – San Jose, 2007. – Vol. 6498. – 9 p.

16.    An automatic approach to lossy compression of AVIRIS images [Òåêñò] / N. Ponomarenko, V. Lukin, M. Zriakhov, A. Kaarna, J. Astola // Proceedings of IGARSS, July 2007. – Barcelona, 2007. – P. 472 – 475.

17.    Lossy compression of images without visible distortions and its applications [Òåêñò] / V. Lukin, M. Zriakhov, S. Krivenko, N. Ponomarenko, Z. Miao // Proc. of ICSP, 24–28 Oct. 2010. – Beijing, 2010. – P. 69 4 –697.

18.    Locally Adaptive DCT Filtering for Signal–Dependent Noise Removal / R. Oktem, K. Egiazarian, V. Lukin, N. Ponomarenko, O. Tsymbal // EURASIP Journal on Advances in Signal Processing. – 2007. – 10 p. – Article ID 42472.

19.    Dogan, O. Time Domain SAR Raw Data Simulation of Distributed Targets [Òåêñò] / O. Dogan, M. Kartal // EURASIP Journal on Advances in Signal Processing. – 2010. – 11 p. – Article ID 784815.

20.    A method for blind estimation of spatially correlated noise characteristics [Òåêñò] / N. Pono­marenko, V. Lukin, K. Egiazarian, J. Astola // Proc. of SPIE Conf. Image Proc.: Algorithms and Systems VII, 19 January 2010. – San Jose, 2010. – Vol. 7532. – 12 p.

21.    Free TerraSAR–X Data Samples [Ýëåêòðîííûé ðåñóðñ]. – Ðåæèì äîñòóïà:  http://www.infoterra.de/free–sample–data. – (30.09.11)

22.    DCT Based High Quality Image Compression [Òåêñò] / N.N. Ponomarenko, V.V. Lukin, K.O. Egiazarian, J.T. Astola // Proc. Scand. Conf. on Image Analysis, Springer Series: Lect. Notes in Comp. Sc. – 2005. – Vol. 3540. – P. 1177 – 1185.

23.    Wu, X. Context–based, adaptive, lossless image coding [Òåêñò] / X. Wu and N. D. Memon // IEEE Trans. On Communications. – 1997. – Vol. 45 (4). – P. 437 – 444.

24.    On between–coefficient contrast masking of DCT basis functions [Òåêñò] / N. Ponomarenko, F. Sil­vestri, K. Egiazarian, M. Carli, J. Astola, V. Lukin // CD–ROM Proc. of the Third Int. Workshop on Video Proc. and Quality Metrics, 25–26 January 2007. – Arizona, 2007. – 4 p.

25.    Wang, Z. Multi–scale Structural Similarity for Visual Quality Assessment [Òåêñò] / Z. Wang, E.P. Si­moncelli, A.C. Bovik // Proceedings of the 37th IEEE Asilomar Conference on Signals, Systems and Computers. – 2003. – Vol. 2. – P. 1398 – 1402.

26.    Îöåíêà âèçóàëüíûõ èñêàæåíèé ïðè âíåäðåíèè â èçîáðàæåíèÿ öèôðîâûõ âîäÿíûõ çíàêîâ [Òåêñò] / Î.È. Åðåìååâ, Í.Í. Ïîíîìàðåíêî, Â.Â. Ëóêèí, À.À. Çåëåíñêèé // Ìàòåð³àëè 7–¿ íàóêîâî¿ êîíôåðåíö³¿ ÄÓ²ÊÒ «Ñó÷àñí³ òåíäåíö³¿ ðîçâèòêó òåõíîëîã³é â ³íôîêîìóí³êàö³ÿõ òà îñâ³ò³», ëèñòîïàä 2010 ð. – Õ., 2010. – Ñ. 20 – 23.