Dynamic Power Reduction in Modified Lifting Scheme Based DWT for Image Processing

1
Dr. C.Chandrasekhar
Dr. C.Chandrasekhar
2
Dr. S.Narayana Reddy
Dr. S.Narayana Reddy
1 S.V.University, Tirupathi.

Send Message

To: Author

GJRE Volume 12 Issue F8

Article Fingerprint

ReserarchID

PU203

Dynamic Power Reduction in Modified Lifting Scheme Based DWT for Image Processing Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Image compression is one of the major applications in image processing that imposes greater design challenges for VLSI design engineers in design and development of low power and high speed architectures. DWT is used in image compression for transformation of image from spatial to frequency domain. In this paper, DWT architecture based on lifting scheme is considered and dynamic power reduction is achieved with suitable modifications to the architecture and adoption of low power techniques. The interdependency of scaling and dilation coefficients is simplified to single hierarchy and thus reduces latency and increases throughput. Wallace tree multiplier and carry select adder are used in realizing 1D DWT architecture. The hierarchy in the design enables to adopt multi-stage and hierarchical clock gating technique thus reducing dynamic power. Power gating and DVFS techniques are also adopted to optimize power dissipation. The modified lifting architecture operates at a maximum frequency of 290MHz, and reduces power by more than 50%. The proposed design is implemented using 65nm TSMC low power library cells and is synthesized using Synopsys DC. The TCL scripts developed optimizes dynamic power dissipation.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Dr. C.Chandrasekhar. 2012. \u201cDynamic Power Reduction in Modified Lifting Scheme Based DWT for Image Processing\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 12 (GJRE Volume 12 Issue F8): .

Download Citation

Article file ID not found.

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Classification
Not Found
Version of record

v1.2

Issue date

July 27, 2012

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 5243
Total Downloads: 2657
2026 Trends
Research Identity (RIN)
Related Research

Published Article

Image compression is one of the major applications in image processing that imposes greater design challenges for VLSI design engineers in design and development of low power and high speed architectures. DWT is used in image compression for transformation of image from spatial to frequency domain. In this paper, DWT architecture based on lifting scheme is considered and dynamic power reduction is achieved with suitable modifications to the architecture and adoption of low power techniques. The interdependency of scaling and dilation coefficients is simplified to single hierarchy and thus reduces latency and increases throughput. Wallace tree multiplier and carry select adder are used in realizing 1D DWT architecture. The hierarchy in the design enables to adopt multi-stage and hierarchical clock gating technique thus reducing dynamic power. Power gating and DVFS techniques are also adopted to optimize power dissipation. The modified lifting architecture operates at a maximum frequency of 290MHz, and reduces power by more than 50%. The proposed design is implemented using 65nm TSMC low power library cells and is synthesized using Synopsys DC. The TCL scripts developed optimizes dynamic power dissipation.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Dynamic Power Reduction in Modified Lifting Scheme Based DWT for Image Processing

Dr. C.Chandrasekhar
Dr. C.Chandrasekhar S.V.University, Tirupathi.
Dr. S.Narayana Reddy
Dr. S.Narayana Reddy

Research Journals