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The technology for determining the recovery filter and color image processing

D.I. Zimin1V.A.Fursov 1, 2
1Samara State Aerospace University (SSAU)
2Image Processing Systems Institute of RAS

 PDF, 119 kB

Pages: 170-173.

Full text of article: Russian language.

Abstract:
The paper considers the issue of improving the quality of color images. In order to determine the parameters of IIR filter, the problem of identification on the generated test fragments is solved by the example of an end-to-end technology for determining a stable reconstruction filter and processing grayscale images. Filter identification and color image processing is performed in the Lab color space.

Keywords:
recovery filter, image processing, color images, IIR filter,end-to-end technology, Lab color space.

Citation:
Zimin DI, Fursov VA.The technology for determining the recovery filter and color image processing. Computer Optics 2005; 27: 170-173.

Acknowledgements:
This work was supported by the Basic Research and Higher Education (BRHE) program, as well as the Russian Foundation for Basic Research (grants No. 03-01-00109, 04-07-90149, 04-07-96500) and a grant from the President of the Russian Federation No. 1007.2003.01.

References:
  1. Soifer VA, ed. Methods for computer design of diffractive optical elements. New York: John Willey and Sons Inc; 2002. ISBN: 978-0-471-09533-0.
  2. Drozdov MA, Zimin DI, Skuratov SA, Popov SB, Fursov VA. Technology for determining recovery filters and processing large images [In Russian]. Computer Optics 2003; 25: 175-182.
  3. Dudgeon DE, Mersereau RM. Multidimensional digital signal processing. Englewood Cliffs: Prentice-Hall Inc; 1983. ISBN: 978-0-13-604959-3.
  4. Pratt WK. Digital image processing. New York: John Wiley and Sons; 1978. ISBN: 978-0-471-01888-9.
  5. Goryachkin OV. Blind signal processing methods and their applications in radio engineering and communications systems [In Russian]. Moscow: "Radio i Svyaz" Publisher; 2003.
  6. Nikonorov AV, Popov SB, Fursov VA. Identifying color reproduction models. Proc 6th Int Conf "Pattern Recognition and Image Analysis: A New Information Approach" (Novgorod) 2002.
  7. Ford A, Roberts A. Color space conversions. 1998. Source: http://www.poynton.com/PDFs/coloureq.pdf.

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