Energy efficient novel architectures for the lifting-based discrete wavelet transform

被引:8
|
作者
Varshney, H. [1 ]
Hasan, M. [1 ]
Jain, S. [1 ]
机构
[1] Aligarh Muslim Univ, Dept Elect Engn, Aligarh, Uttar Pradesh, India
关键词
D O I
10.1049/iet-ipr:20060140
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Energy efficient single-processor and fully pipelined architectures for the lifting-based JPEG2000's 5/3 two-dimensional (2D)-discrete wavelet transform are presented. The single processor performs both the row- and column-wise processing simultaneously, that is, full 2D transform with 100% hardware utilisation. In addition, the architecture uses minimum embedded memory. The fully pipelined architecture is obtained by replicating the single-processor block depending on the levels of decomposition with much lower memory requirement and higher throughput than the single processor involved in multi-level transforms. These architectures can be directly used in real-time image/video consumer applications to extend the battery life of portable systems.
引用
收藏
页码:305 / 310
页数:6
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