19-04-2012, 09:21 PM
please give documentation and ppt about An Efficient Architecture for 3-D Lifting-based Discrete Wavelet Transform
19-04-2012, 09:21 PM
please give documentation and ppt about An Efficient Architecture for 3-D Lifting-based Discrete Wavelet Transform
30-06-2012, 03:30 PM
An Efficient Architecture for 3-D Discrete Wavelet Transform An Efficient Architecture for 3-D Discrete.pdf (Size: 644.36 KB / Downloads: 40) Abstract This paper presents an architecture of the liftingbased running 3-D discrete wavelet transform (DWT), which is a powerful image and video compression algorithm. The proposed design is one of the first lifting based complete 3-DDWT architectures without group of pictures restriction. The new computing technique based on analysis of lifting signal flow graph minimizes the storage requirement. This architecture enjoys reduced memory referencing and related low power consumption, low latency, and high throughput compared to those of earlier reported works. Introduction STILL IMAGE compression technique based on 2-D discrete wavelet transform (DWT) has already gained superiority over traditional JPEG based on discrete cosine transform and is standardized in forms like JPEG2000 [1]. Quite similarly, the application of its 3-D superset, i.e., 3-D-DWT on video, outperforms the current predictive coding standards, like H.261-3, MPEG1-2,4 by rendering the quality features like better peak signal-to-noise ratio (PSNR), absence of blocky artifacts in low bit rates. Furthermore, it has the added provisions of highly scalable compression, which is mostly coveted in modern communications over heterogeneous channels like the Internet [2]. Proposed Architecture Working Principle Fig. 1 presents the proposed scan-based 1 level 3-D wavelet transform architecture with a block level illustration of principal functional modules. Clearly from the figure, the proposed architecture does the spatial transform first, followed by its temporal counterpart. The following two parts in this section give a detailed view about hand-in-hand working of the different functional blocks to realize those two transform components. Conclusion The applications of 3-D wavelet based coding are opening new vistas in video and other multidimensional signal compression and processing. The prominent needs in these diversified application areas are efficient 3-D-DWT engines with good computing power which draws the attention of the dedicated VLSI architectures as the best possible solution. Though the researches of 2-D-DWT architectures are progressing quite fast, fewer approaches are reported in the literatures designing their 3-D counterpart. |
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