• Login
    View Item 
    •   Home
    • IRAC Institute for Research in Applicable Computing - to April 2016
    • Centre for Wireless Research (CWR)
    • View Item
    •   Home
    • IRAC Institute for Research in Applicable Computing - to April 2016
    • Centre for Wireless Research (CWR)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UOBREPCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalDepartmentThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalDepartment

    My Account

    LoginRegister

    About

    AboutLearning ResourcesResearch Graduate SchoolResearch InstitutesUniversity Website

    Statistics

    Display statistics

    Space-frequency quantization for image compression with directionlets

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Velisavljević, Vladan
    Beferull-Lozano, Baltasar
    Vetterli, Martin
    Issue Date
    2007
    Subjects
    directional transforms
    image coding
    image reconstruction
    space-frequency quantization
    sparse representation
    
    Metadata
    Show full item record
    Abstract
    The standard separable 2-D wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to efficiently capture 1-D discontinuities, like edges or contours. These features, being elongated and characterized by geometrical regularity along different directions, intersect and generate many large magnitude wavelet coefficients. Since contours are very important elements in the visual perception of images, to provide a good visual quality of compressed images, it is fundamental to preserve good reconstruction of these directional features. In our previous work, we proposed a construction of critically sampled perfect reconstruction transforms with directional vanishing moments imposed in the corresponding basis functions along different directions, called directionlets. In this paper, we show how to design and implement a novel efficient space-frequency quantization (SFQ) compression algorithm using directionlets. Our new compression method outperforms the standard SFQ in a rate-distortion sense, both in terms of mean-square error and visual quality, especially in the low-rate compression regime. We also show that our compression method, does not increase the order of computational complexity as compared to the standard SFQ algorithm.
    Citation
    Velisavljevic, V., Beferull-Lozano, B. and Vetterli, M. (2007) 'Space-frequency quantization for image compression with directionlets', IEEE Transactions on Image Processing, 16 (7), pp.1761-1773.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Journal
    IEEE Transactions on Image Processing
    URI
    http://hdl.handle.net/10547/292583
    DOI
    10.1109/TIP.2007.899183
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4237209
    Type
    Article
    Language
    en
    ISSN
    1057-7149
    ae974a485f413a2113503eed53cd6c53
    10.1109/TIP.2007.899183
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.