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The Segmented-Matrix Algorithm for Haar Discrete Wavelet Transform
並列摘要
Discrete wavelet transform (DWT) is an efficient tool for multi-resolution decomposition of images. It has been shown to be very promising due to its high compression ratio and self-similar data structure. Conventionally a 2-D DWT is accomplished by performing two 1-D operations: one along the rows and the other along the columns of an image. Without executing ordered 1-D transforms, we develop a new algorithm to compute a 2-D Haar DWT, the simplest DWT. Two merits of this algorithm are compactness and quickness. The algorithm is implemented with a compact, regular VLSI architecture whose system throughput can be conveniently improved by appropriate parallel/pipeline methods.
被引用紀錄
Hsia, C. H. (2010). 以離散小波轉換應用於視訊壓縮與智慧型視訊監控系統之探討 [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2010.00406
謝慶發（2015）。整合類比數位轉換與二維離散小波轉換於視訊 影像處理的系統晶片設計〔博士論文，國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512095662
延伸閱讀
- Seyyedi, S. A., Sadau, V., & Ivanov, N. (2016). A Secure Steganography Method Based on Integer Lifting Wavelet Transform. International Journal of Network Security, 18(1), 124-132. https://doi.org/10.6633/IJNS.201601.18(1).13
- Li, F., & Yang, J. W. (2011). Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters. Journal of Applied Mathematics, 2011(), 489-507-030. https://doi.org/10.1155/2011/272801
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- Doukhnitch, E., & Podbelskiy, V. (2013). Highly Parallel Hardware-oriented Algorithm for Jacobi SVD of Hermitian Quaternion Valued Matrix. Parallel and Cloud Computing Research, 1(3), 41-49. https://www.airitilibrary.com/Article/Detail?DocID=P20150618005-201310-201509300024-201509300024-41-49
- 黃慶順, 李柏堅, & 許昭興 (2004). The Reductive Algorithm for Determinant of a Matrix. 加馬, (35), 15-19. https://doi.org/10.30173/JG.200406.0004