Reconfigurable IP of DCT and DWT for image transform coding
碩士 === 國立交通大學 === 電機學院IC設計產業專班 === 97 === This paper presents a design and development of a reconfigurable architecture for image transform coding. Because of DCT (Discrete Cosine Transform) is usually used in JPEG, MPEG, and H.26X system. And DWT (Discrete Wavelet Transform) is used in JPEG2000 sys...
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ndltd-TW-097NCTU53340022015-10-13T12:18:14Z http://ndltd.ncl.edu.tw/handle/06295153574776263281 Reconfigurable IP of DCT and DWT for image transform coding 針對影像轉換編碼之離散餘弦轉換與離散小波轉換的可重組式IP 陳毓宏 碩士 國立交通大學 電機學院IC設計產業專班 97 This paper presents a design and development of a reconfigurable architecture for image transform coding. Because of DCT (Discrete Cosine Transform) is usually used in JPEG, MPEG, and H.26X system. And DWT (Discrete Wavelet Transform) is used in JPEG2000 system. They are both the part that damage huge computations in system. So we want to integrate DCT and DWT architectures with the same hardware to reduce hardware requirement for these system. To merge DWT into DCT, we use butterfly structure for DCT and 9/7 convolution based structure for DWT that not only can make DCT computations time faster, but also can increase hardware utility rate for DWT. To reduce hardware area and speed up DCT function, we use the subexpression to reduce our hardware requirement and canonic signed digit (CSD) encoded multiplier to design ours multiplication that can effective reduce multiplication area, and also can speed up the chip to achieve the mpeg spec. The architecture executes a DCT and DWT achieving up to 90% higher throughput and occupying as little as 20% area compared to a commercial digital signal processing and other application- specified integrated circuit implementations while maintaining precision. A comprehensive comparative analysis is also provided. The proposed architecture is implemented in 0.13- m CMOS technology and operates with a 100-MHz clock. Jyh-Jiun Shann 單智君 2008 學位論文 ; thesis 53 zh-TW |
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碩士 === 國立交通大學 === 電機學院IC設計產業專班 === 97 === This paper presents a design and development of a reconfigurable architecture for image
transform coding. Because of DCT (Discrete Cosine Transform) is usually used in JPEG,
MPEG, and H.26X system. And DWT (Discrete Wavelet Transform) is used in JPEG2000
system. They are both the part that damage huge computations in system. So we want to
integrate DCT and DWT architectures with the same hardware to reduce hardware
requirement for these system.
To merge DWT into DCT, we use butterfly structure for DCT and 9/7 convolution based
structure for DWT that not only can make DCT computations time faster, but also can
increase hardware utility rate for DWT.
To reduce hardware area and speed up DCT function, we use the subexpression to reduce
our hardware requirement and canonic signed digit (CSD) encoded multiplier to design ours
multiplication that can effective reduce multiplication area, and also can speed up the chip to
achieve the mpeg spec.
The architecture executes a DCT and DWT achieving up to 90% higher throughput and
occupying as little as 20% area compared to a commercial digital signal processing and other
application- specified integrated circuit implementations while maintaining precision. A
comprehensive comparative analysis is also provided. The proposed architecture is
implemented in 0.13- m CMOS technology and operates with a 100-MHz clock.
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Jyh-Jiun Shann |
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Jyh-Jiun Shann 陳毓宏 |
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陳毓宏 |
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陳毓宏 Reconfigurable IP of DCT and DWT for image transform coding |
author_sort |
陳毓宏 |
title |
Reconfigurable IP of DCT and DWT for image transform coding |
title_short |
Reconfigurable IP of DCT and DWT for image transform coding |
title_full |
Reconfigurable IP of DCT and DWT for image transform coding |
title_fullStr |
Reconfigurable IP of DCT and DWT for image transform coding |
title_full_unstemmed |
Reconfigurable IP of DCT and DWT for image transform coding |
title_sort |
reconfigurable ip of dct and dwt for image transform coding |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/06295153574776263281 |
work_keys_str_mv |
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