Design of multiplierless, high-performance, wavelet filter banks with image compression applications

被引:30
|
作者
Kotteri, KA [1 ]
Bell, AE
Carletta, JE
机构
[1] Virginia Tech, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Univ Akron, Dept Elect & Comp Engn, Akron, OH 44325 USA
基金
美国国家科学基金会;
关键词
biorthogonal; 9/7; canonical signed digit (CSD); compensating zeros; discrete wavelet transform (DWT); JPEG2000; multiplierless; quantization;
D O I
10.1109/TCSI.2003.820234
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The JPEG2000 image coding standard employs the biorthogonal 9/7 wavelet for lossy compression. The performance of a hardware implementation of the 9/7 filter bank depends on the accuracy and the efficiency with which the quantized filter coefficients are represented. A high-precision representation ensures compression performance close to the unquantized, infinite precision filter bank, but at the cost of increased hardware resources and processing time. If the filter coefficients are quantized such that the filter bank properties are preserved, then, the degradation in compression performance will be minimal. This paper investigates two filter structures and two "compensating" filter coefficient quantization methods for improving the performance of multiplierless, quantized filter banks. Rather than using an optimization technique to guide the design process, the new methods utilizes the perfect reconstruction requirements of the filter bank. The results indicate that the best method (a cascade structure with compensating zeros). realizes image-compression performance very similar to the unquantized filter case while also achieving a fast, efficient hardware implementation.
引用
收藏
页码:483 / 494
页数:12
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