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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/109073

    Title: An Efficient Adaptive Image Enhancement Method in Wavelet Domain for Handwritten Document
    Authors: Tu, Han-Yen;Hsia, Chih-Hsien;Giang, Hoang Thi Huong
    Keywords: Wavelet Transforms;Histogram Equalization;Image Enhancement;Handwritten Document;Visible Watermark
    Date: 2016-09
    Issue Date: 2017-01-03 09:46:50 (UTC+8)
    Publisher: 淡江大學出版中心
    Abstract: In this study, a new method, called adaptive image enhancement (AIE), is used to enhance
    handwritten document images, such as historical documents. An AIE method is proposed to denoise
    handwritten documents in a wavelet domain, which differs from others methods in two aspects: Firstly,
    modified contrast limited adaptive histogram equalization (MCLAHE) is used to equalize the contrast
    of an image by cutting the histogram at some threshold, and then equalization is used. Secondly, the
    image is improved by using directional discrete wavelet transform (D2
    WT) enhancing for foreground
    and interfering strokes, respectively. As a result, this method not only removes the interfering strokes
    or visible watermarks in the background information, but also significantly increases the readability of
    handwritten document images.
    Relation: Journal of Applied Science and Engineering19(3), pp.357-370
    DOI: 10.6180/jase.2016.19.3.14
    Appears in Collections:[淡江理工學刊] 第19卷第3期

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