會議論文
| 學年 | 95 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2007-12-10 |
| 作品名稱 | Complexity Reduction and Fast Algorithm for 2-D Integer Discrete Wavelet Transform Using Symmetric Mask-Based Scheme |
| 作品名稱（其他語言） | |
| 著者 | Hsia, Chih-Hsien; Guo, Jing-Ming; Chiang, Jen-Shiun |
| 作品所屬單位 | 淡江大學資訊工程學系 |
| 出版者 | |
| 會議名稱 | The Ninth IEEE International Symposium on Multimedia (ISM 2007) |
| 會議地點 | |
| 摘要 | Wavelet coding has been shown to be better than discrete cosine transform (DCT) in image/video processing. Moreover, it has the feature of scalability, which is involved in modern video standards. This work presents novel algorithms, namely 2-D symmetric mask-based discrete wavelet transform (SMDWT), to improve the critical issue of the 2-D lifting-based discrete wavelet transform (LDWT), and then obtains the benefit of low latency, high-speed operation, and low temporal memory. The SMDWT also has the advantages of high-performance embedded periodic extension boundary treatment, reduced complexity, regular signal coding, short critical path, reduced latency time, and independent subband coding processing. Moreover, the 2-D lifting-based DWT performance can also be easily improved by exploiting appropriate parallel method inherently in SMDWT. Comparing with the normal 2-D 5/3 integer lifting-based DWT the proposed method significantly improves lifting-based latency and complexity in 2-D DWT without degradation in image quality. The algorithm can be applied to real-time image/video applications, such as JPEG2000, MPEG-4 still texture object decoding, and wavelet-based Scalable Video Coding (SVC). |
| 關鍵字 | Communication, Networking & Broadcasting;Computing & Processing (Hardware/Software) |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20071210~20071212 |
| 通訊作者 | |
| 國別 | |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Proceedings of the Ninth IEEE International Symposium on Multimedia (ISM 2007), pp.57-64 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/80807 ) |