Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization

Naoki Furuhashi, Azusa Oota, Taichi Yoshida, Masaaki Ikehara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we propose the non-local method for image de-noising via adaptive directional lifting-based discrete wavelet transform (ADL) and quantization. The non-local methods such as non-local means are interested in image denoising based on the self-similarity. They search similar blocks and estimate the original value. The proposed method doesn't search but generates new similar blocks by ADL with multiple directions, and quantization to denoise. It improves the denoising quality and reduces the computational complexity. Finally, we compare the proposed and conventional method, and show an advantage of them.

    Original languageEnglish
    Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
    PublisherIEEE Computer Society
    Pages1995-1999
    Number of pages5
    ISBN (Print)9781479923908
    DOIs
    Publication statusPublished - 2013 Jan 1
    Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
    Duration: 2013 Nov 32013 Nov 6

    Publication series

    NameConference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN (Print)1058-6393

    Other

    Other2013 47th Asilomar Conference on Signals, Systems and Computers
    CountryUnited States
    CityPacific Grove, CA
    Period13/11/313/11/6

    Keywords

    • Image denoising
    • adaptive directional transform
    • lifting structure of discrete wavelet transform

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications

    Fingerprint Dive into the research topics of 'Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization'. Together they form a unique fingerprint.

  • Cite this

    Furuhashi, N., Oota, A., Yoshida, T., & Ikehara, M. (2013). Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 1995-1999). [6810655] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810655