Two-Band Hybrid FIR–IIR Filters for Image Compression
Two-band analysis–synthesis filters or wavelet filters are used pervasively for compressing natural images. Both FIR and IIR filters have been studied in this context, the former being the most popular. In this paper, we examine the compression performance of these two-band filters in a dyadic wavel...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
IEEE Signal Processing Society
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/27253 |
| _version_ | 1848752211913342976 |
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| author | Lin, Jianyu Smith, M. |
| author_facet | Lin, Jianyu Smith, M. |
| author_sort | Lin, Jianyu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Two-band analysis–synthesis filters or wavelet filters are used pervasively for compressing natural images. Both FIR and IIR filters have been studied in this context, the former being the most popular. In this paper, we examine the compression performance of these two-band filters in a dyadic wavelet decomposition and attempt to isolate features that contribute most directly to the performance gain. Then, employing the general exact reconstruction condition, hybrid FIR–IIR analysis–synthesis filters are designed to maximize compression performance for natural images. Experimental results are presented that compare performance with the popular biorthogonal filters in terms of peak SNR, subjective quality, and computational complexity. |
| first_indexed | 2025-11-14T08:05:01Z |
| format | Journal Article |
| id | curtin-20.500.11937-27253 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:05:01Z |
| publishDate | 2011 |
| publisher | IEEE Signal Processing Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-272532017-09-13T16:08:46Z Two-Band Hybrid FIR–IIR Filters for Image Compression Lin, Jianyu Smith, M. Two-band analysis–synthesis filters or wavelet filters are used pervasively for compressing natural images. Both FIR and IIR filters have been studied in this context, the former being the most popular. In this paper, we examine the compression performance of these two-band filters in a dyadic wavelet decomposition and attempt to isolate features that contribute most directly to the performance gain. Then, employing the general exact reconstruction condition, hybrid FIR–IIR analysis–synthesis filters are designed to maximize compression performance for natural images. Experimental results are presented that compare performance with the popular biorthogonal filters in terms of peak SNR, subjective quality, and computational complexity. 2011 Journal Article http://hdl.handle.net/20.500.11937/27253 10.1109/TIP.2011.2134860 IEEE Signal Processing Society restricted |
| spellingShingle | Lin, Jianyu Smith, M. Two-Band Hybrid FIR–IIR Filters for Image Compression |
| title | Two-Band Hybrid FIR–IIR Filters for Image Compression |
| title_full | Two-Band Hybrid FIR–IIR Filters for Image Compression |
| title_fullStr | Two-Band Hybrid FIR–IIR Filters for Image Compression |
| title_full_unstemmed | Two-Band Hybrid FIR–IIR Filters for Image Compression |
| title_short | Two-Band Hybrid FIR–IIR Filters for Image Compression |
| title_sort | two-band hybrid fir–iir filters for image compression |
| url | http://hdl.handle.net/20.500.11937/27253 |