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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    A modified GNS map denoising approach for digital images

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    13101292_CSE.pdf (1.587Mb)
    Date
    2017-12
    Publisher
    BRAC University
    Author
    Ivy, Sanjida Islam
    Metadata
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    URI
    http://hdl.handle.net/10361/9504
    Abstract
    This paper proposes a new technique of noise reduction for 2D digital images. In the proposed model, for constructing a GNS map using DNS maps of central pixels we measured the intensity similarity between center pixel and its neighboring pixels within a certain window. In the proposed scheme, the intensity similarity is being calculated by using Manhattan distance equations; where the conventional GNS map approach uses Euclidean distance principle. To validate the performance of the proposed model, we consider several attacks on our tested dataset and experimental results demonstrate that the proposed model performs better than the conventional GNS map based denoising technique by exhibiting lower MSE results.
    Keywords
    GNS; PNG; JPEG; Digital image; Map denoising
     
    Description
    This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (pages 25-27).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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