A Practical Wavelet Compression for Arbitrarily-Sized Natural Color Images

Authors

  • Poonlap Lamsrichan Electrical Engineering Department, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand.
  • Vutipong Areekul Electrical Engineering Department, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand.

Keywords:

wavelet image compression, arbitrarily-sized, wavelet difference reduction, asymmetric wavelet decomposition, fast and memory-effective algorithm

Abstract

A practical method for wavelet-based image compression was proposed, where ‘practical’ means that this method can be performed on typical images of any size, whether grey-scaled or color images. Its performance with simple methods used for wavelet decomposition of an arbitrarily-sized image were compared . Color images were transformed into the appropriate domain before the wavelet decomposition was employed in the same way as grey-scaled images. The wavelet coefficient matrices were encoded with an existing bit-plane encoding algorithm of the authors, (non-list context adaptive wavelet difference reduction). With its fast and memory-effective algorithm, the proposed coder performed at the same level as the JPEG2000 standard and significantly outperformed the existing JPEG standard for all test images which were downloaded from the Internet.

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Published

2013-12-31

How to Cite

Lamsrichan, Poonlap, and Vutipong Areekul. 2013. “A Practical Wavelet Compression for Arbitrarily-Sized Natural Color Images”. Agriculture and Natural Resources 47 (6). Bangkok, Thailand:925-39. https://li01.tci-thaijo.org/index.php/anres/article/view/243161.

Issue

Section

Research Article