Image subband coding using an efficient recursive filter bank with complex signals

Hakon Gronning; John Hakon Husoy; Tor A. Ramstad

doi:10.1117/12.24245

1 September 1990 Image subband coding using an efficient recursive filter bank with complex signals

Hakon Gronning, John Hakon Husoy, Tor A. Ramstad

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24245
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

Citation Download Citation

Hakon Gronning, John Hakon Husoy, and Tor A. Ramstad "Image subband coding using an efficient recursive filter bank with complex signals", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24245

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