An Improved SPIHT Algorithm for Image Compression in Low Bit Rate

• 作者: Guanfeng Li Ping Liu
• 来源期刊: 通讯与网络(英文)
• 学科: 工学
• 关键词: WAVELET Transformation LIFTING Scheme THRESHOLD Set Partitioning in Hierarchical Trees(SPIHT) Human Visual System(HVS) Image Compression Low BIT Rate
• 年，卷（期）: 2013,（3）
• 页码范围: 245-248
• 页数: 4页
• 分类号: TP39

摘要

Aiming at shortage of the SPIHT algorithm, an improved image compression algorithm is proposed, in order to overcome the shortcomings of decoding image quality and coding time, LS9/7 lifting wavelet transform is adopted. According to the characteristics of the human visual system (HVS), the scanning mode and the method to determine the threshold of algorithm are changed to improve the quality of reconstruction image. On the question of repeating scan of SPIHT algorithm, using maximum list thought, greatly reduce the computation and save operating time. The experimental results have proved that the improved algorithm of image decoding time and the quality of reconstruction images are better than the original algorithm , especially in the case of low bit rate.