Publication - A new multi-resolution image compression system based on subband and binary coding

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A new multi-resolution image compression system based on subband and binary coding

Research Area:  
    
Type:  
In Proceedings

 

Year: 2004
Authors: Ioannis Dologlou; Stylianos Bakamidis; Stavroula-Evita Fotinea; George Carayannis
Book title: Proc. of the 1st International Conference "From Scientific Computing to Computational Engineering" (IC-SCCE), Invited Session on Human Computer Interaction
Pages: 842-847
Address: Athens, Greece
Date: 8-10 September
Abstract:
This paper presents a novel multi-resolution image compression scheme based on iterative subband and binary coding. The signal is split into a low frequency image and its high frequency complement. The first is compressed conventionally or by using adaptive sinusoidal models. The high frequency component is treated via a non-linear transformation that leads to a binary image and its complement that can be brought to lower resolution via filtering. The process is iterative and the number of iterations depends on the size of the image and the desired compression rate.
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