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Proceedings Paper

Image subband coding using an efficient recursive filter bank with complex signals
Author(s): Hakon Gronning; John Hakon Husoy; Tor A. Ramstad
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Paper Abstract

The principle of subband coding has recently been applied for the purpose of image data compression. In this paper we present new results pertaining to our subband coder for images featuring an exact reconstruction parallel complex filter bank based on HR filters. This filter bank is characterized by its low complexity. The main advantage of subband coding is the possibility of separate coding of each subband such that the perceptually important coding noise is minimized. In this paper we exploit the nature of the complex valued subband signals of this particular coder by coding the module and phase rather than the real and imaginary parts. We determine the tolerable quantization noise levels for the module and phase signals in all subbands. These empiricaly derived data are employed in the coding simulations presented. Finally we present coding results for bit rates between 0.25 and 1.0 bits/pel.

Paper Details

Date Published: 1 September 1990
PDF: 11 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24245
Show Author Affiliations
Hakon Gronning, Norwegian Institute of Technology (Norway)
John Hakon Husoy, Norwegian Institute of Technology (Norway)
Tor A. Ramstad, Norwegian Institute of Technology (Norway)


Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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