Benner
   
Ali Kadhim Al-Janabi ( Assistant Professor )
College Engineering - Electronics and Communication
[email protected]
 
 
 
Low Complexity Embedded Image Compression Algorithm using Subband Coding of the DCT Coefficients
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General Speciality:
Ali Kadhim Al-Janabi Author Name:
Co Authors Names:
Kufa Journal of Engineering, Volume 3, No.2, pp. 1-16 Publisher Name:
university of Kufa, Faculty of Engineering  
2012 Publication Year:

Abstract

This paper proposes a new algorithm termed Quad-Tree-DCT (QT-DCT). QT-DCT is a low complexity algorithm that combines the good energy compaction ability and the simplicity of the Discrete Cosine Transform (DCT), and the global and embedding properties of Subband Coding (SBC) systems. The proposed QT-DCT reorders the DCT coefficients into subbands. Then these subbands are coded (bit-plane by bit-plane) using quad-tree decomposition method. The main contribution of the proposed QT-DCT algorithm is that it has better performance and lower complexity than JPEG image compression standard and some existing algorithms that have about the same complexity. In addition, QT-DCT produces an embedded compressed bit-stream which is able to achieve any compression bit-rate very easily. This is a very desirable feature for the modern requirements represented by the Internet.