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Optimal quantization in digital signal compression

M.V. Gashnikov

Image Processing Systems Institute of RAS, Samara

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Pages: 179-184

Full text of article: Russian language.

Abstract:
A characteristic feature of many modern information processing applications (storage of space images, transmission of video and sound via the Internet, etc.) is the processing of large amounts of data. Under such conditions, the issue of compressing digital signals becomes especially urgent.

Citation:
Gashnikov MV. Optimal quantization in digital signal compression. Computer Optics 2001; 21: 179-184.

References:
  1. Skarbek W. Methods of digital image archivization. Part three: Compressing images. Mach Graph Vis 1993; 2(1): 53-86.
  2. Pratt W. Digital image processing. 2nd ed. Wiley-Interscience; 1991.
  3. Novik DA. Effective coding [In Russian]. Moscow: "Energiya" Publisher; 1965.
  4. Bellman R. Dynamic programming. Princeton University Press; 1957.
  5. Davydov EG. Operations research [In Russian]. Moscow: "Vysshaya Shkola" Publisher; 1990.
  6. Bockstein IM. A method of lossless image compression. Pattern Recognit Image Anal 1993; 3(2): 92-98.
  7. Gashnikov MV, Glumov NI, Sergeev VV. The method of image compression in operational remote sensing systems. Proc IX AllRussian Conf “Mathematical methods of pattern recognition” (ММRО-9-99) 1999: 160-163.
  8. Gashnikov MV, Glumov NI, Sergeev VV. Information technology for image compression in online remote sensing systems [In Russian]. Bulletin of the Samara Scientific Center of RAS 1999; 1: 99-107.

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