A memory-efficient pipeline architecture for 2-D DWT of the 9/7 filter for JPEG 2000

Bing-Fei Wu; Chung Fu Lin

doi:10.1109/CNNA.2005.1543156

A memory-efficient pipeline architecture for 2-D DWT of the 9/7 filter for JPEG 2000

Bing-Fei Wu^*, Chung Fu Lin

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

In this paper, we propose a memory-efficient pipeline architecture which performs the one-level two-dimensional discrete wavelet transform (2-D DWT) of the 9/7 filter for JPEG 2000. In general, the internal memory size of 2-D architecture highly depends on the pipeline registers of 1-D DWT. Based on the lifting-based DWT algorithm, the primitive data path is modified. Thus, an efficient pipeline architecture is derived to shorten the data path and decrease the internal memory size for 2-D DWT. That is, for an N×M image, only 5.5N size memory is required for the 9/7 filter to perform the one-level 2-D DWT decomposition with one multiplier delay (i.e. N and M indicate the height and width of an image). Based on the proposed architecture, the tradeoff between high speed and low internal memory for 2-D DWT can be eased.

Original language	English
Pages	44-47
Number of pages	4
DOIs	https://doi.org/10.1109/CNNA.2005.1543156
State	Published - 28 May 2005
Event	9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, Taiwan Duration: 28 May 2005 → 30 May 2005

Conference

Conference	9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
Country/Territory	Taiwan
City	Hsinchu
Period	28/05/05 → 30/05/05

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10.1109/CNNA.2005.1543156

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abstract = "In this paper, we propose a memory-efficient pipeline architecture which performs the one-level two-dimensional discrete wavelet transform (2-D DWT) of the 9/7 filter for JPEG 2000. In general, the internal memory size of 2-D architecture highly depends on the pipeline registers of 1-D DWT. Based on the lifting-based DWT algorithm, the primitive data path is modified. Thus, an efficient pipeline architecture is derived to shorten the data path and decrease the internal memory size for 2-D DWT. That is, for an N×M image, only 5.5N size memory is required for the 9/7 filter to perform the one-level 2-D DWT decomposition with one multiplier delay (i.e. N and M indicate the height and width of an image). Based on the proposed architecture, the tradeoff between high speed and low internal memory for 2-D DWT can be eased.",

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N2 - In this paper, we propose a memory-efficient pipeline architecture which performs the one-level two-dimensional discrete wavelet transform (2-D DWT) of the 9/7 filter for JPEG 2000. In general, the internal memory size of 2-D architecture highly depends on the pipeline registers of 1-D DWT. Based on the lifting-based DWT algorithm, the primitive data path is modified. Thus, an efficient pipeline architecture is derived to shorten the data path and decrease the internal memory size for 2-D DWT. That is, for an N×M image, only 5.5N size memory is required for the 9/7 filter to perform the one-level 2-D DWT decomposition with one multiplier delay (i.e. N and M indicate the height and width of an image). Based on the proposed architecture, the tradeoff between high speed and low internal memory for 2-D DWT can be eased.

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A memory-efficient pipeline architecture for 2-D DWT of the 9/7 filter for JPEG 2000

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