Memory-efficient architecture of 2-D dual-mode discrete wavelet transform using lifting scheme for motion-JPEG2000
Weiming Li, Chih‐Hsien Hsia, Jen‐Shiun Chiang · 2009
In this work, we propose a memory-efficient architecture of lifting based two-dimensional discrete wavelet transform (2-D DWT) for motion-JPEG2000. The proposed 2-D DWT architecture consists of a 1-D row processor, internal memory, and a 1-D column processor. The main advantage of this 2-D DWT is to reduce the internal memory requirement significantly. For an N×N image, only 2N and 4N sizes of internal memory are required for the 5/3 and 9/7 filters, respectively, to perform the one-level 2-D DWT decomposition. Moreover, it supports both lossless and lossy operation for 5/3 and 9/7 filters with high operation speed. The proposed 2-D DWT surpasses the existed lifting-based designs in the aspects of low internal memory requirement. It is suitable for VLSI implementation and can support various real-time image/video applications such as JPEG2000, motion-JPEG2000, MPEG-4 still texture object decoding, and wavelet-based scalable video coding.