(22) * << * >> * Russian * English * Content * All Issues
Adaptive interpolation algorithm for hierarchical image compression
M.V. Gashnikov1,2, N.I. Glumov1,2, V.V. Sergeev1,2
1 IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS,
443001, Samara, Russia, Molodogvardeyskaya 151,
2 Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34
PDF, 397 kB
Full text of article: Russian language.
The paper proposes a new adaptive interpolation algorithm for hierarchical image compression. The algorithm is based on the use of a parameterized decision rule, which is adjusted for each particular image during its processing. The developed interpolation algorithm is compared with the existing ones.
adaptive interpolation algorithm, image compression, parameterized decision rule, image processing.
Gashnikov MV, Glumov NI, Sergeyev VV. Adaptive interpolation algorithm for hierarchical image compression. Computer optics 2002; 23: 89-93.
- Alexandrov RV, Gorsky ID. Image representation and processing: a recursive approach. Dordrecht: Springer Science+Business Media; 1993.
- Kortman CM. Redundancy reduction – A practical method of data compression. Proc IEEE 1967; 55(3): 253-263.
- Vasin YG, Bakareva VP. Recurrent algorithms for adaptive compression using well-adapted local restoration functions [In Russian]. In Book: CAD software: Interuniversity collection of papers. Vol I. Gorky: GSU Publisher; 1978: 13.
- Efimov VM, Kolesnikov AN. Effectiveness estimation of the hierarchical and line-by-line lossless compression algorithms [In Russian]. Proc 3rd All-Russian Conference “Pattern Recognition and Image Analysis: New Information Technologies” 1997; I: 157-161.
- Gashnikov MV, Glumov NI, Sergeev VV. Information technology for image compression in online remote sensing systems. Izvestia of Samara Scientific Center of the Russian Academy of Sciences 1999; 1: 99-107.
- Gashnikov M, Glumov N, Sergeyev V. Compression method for real-time systems of remote sensing. Proc 15th Int Conf on Pattern Recognition 2000; 3: 232-235.
© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail: email@example.com ; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20