Image coding using lapped biorthogonal transform

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• 作者：P. Deepa (1)
  C. Vasanthanayaki (1)
  
• 关键词：Lapped biorthogonal transform ; Low ; complexity zerotree codec ; Golomb ; rice codec ; Image compression
• 刊名：Signal, Image and Video Processing
• 出版年：2013
• 出版时间：September 2013
• 年：2013
• 卷：7
• 期：5
• 页码：879-888
• 全文大小：980KB
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• 作者单位：P. Deepa (1)
  C. Vasanthanayaki (1)
  
  1. Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, Tamil Nadu, 641 013, India
  

文摘

The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. This paper proposes an efficient lapped biorthogonal transform (LBT)–based low-complexity zerotree codec (LZC), an entropy coder for image coding algorithm to achieve high compression. The LBT-LZC algorithm yields high compression, better visual quality with low computational complexity. The performance of the proposed method is compared with other popular coding schemes based on LBT, DCT and wavelet transforms. The simulation results reveal that the proposed algorithm reduces the blocking artifacts and achieves high compression. Besides, it is analyzed for noise resilience.