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Image compression using discrete orthogonal transforms defined on the evolvements of two-dimensional fields

V.A. Fedoseev1,2
1Samara State Aerospace University named after academician S.P. Korolev 


 PDF, 114 kB

Pages: 132-135.

Abstract:
The article provides a comparative analysis of the effectiveness of two-dimensional discrete orthogonal transforms (DOT) for image compression. Several evolvements of two-dimensional fields are shown that provide low correlation of transformants when applying one-dimensional DOTs to them. The article also explores the possibility of using one-dimensional DOTs defined on such evolvements as an alternative to two-dimensional ones.

Keywords:
image compression, discrete orthogonal transform, DOT, two-dimensional field.

Citation:
Fedoseev VA. Image compression using discrete orthogonal transforms defined on the evolvements of two-dimensional fields. Computer Optics 2005; 28: 132-135.

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. Salomon D. Compression of data, images and sound [In Russian]. Moscow: “Technosphere” Publisher; 2004. 
  3. Sergeev V.V. Image processing with a Hilbert-Peano sweep [In Russian]. Novosibirsk: “Nauka” Publisher; 1984. 
  4. Wang L. Error accumulation in hybrid DPCM/DCT video coding. Signal Processing: Image Communication 1995; 7(1): 93-104.

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