Khawne, Amnach

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Khawne, Amnach
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amnach.kh@kmitl.ac.th

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    Color descriptor for image retrieval in wavelet domain
    (2006-01-01)
    Utenpattanant, Ariya
    ;
    Chitsobhuk, Orachat
    ;
    Khawne, Amnach
    This paper presents an approach to manage a large database using a compact color descriptor and a statistical method for accurately pruning the database. A compact color descriptor adopted in the proposed content-based image retrieval system is 63-bit binary Haar color histogram, which is very compact and can be effectively used for fast image search. In addition to fast searching using this compact descriptor, we further improve retrieval time by applying pruning technique, which looks for the candidate images similar to the query image from the database and ignore the rest that are not likely to the query image. The descriptors of the candidate images are then matched with that of the query. The most similar images will be retrieved and ordered according to their distance to the query. The proposed retrieval system can efficiently retrieve the most similar images from the database while can help reducing the retrieval time and the storage space.
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    Ultrasonic echo image adaptive watermarking using the just-noticeable difference estimation
    (2009-12-01)
    Khawne, Amnach
    ;
    Hamamoto, Kazuhiko
    ;
    Chitsobhuk, Orachat
    Most of the image watermarking methods, using the properties of the human visual system (HVS), have been proposed in literature. The component of the visual threshold is usually related to either the spatial contrast sensitivity function (CSF) or the visual masking. Especially on the contrast masking, most methods have not mention to the effect near to the edge region. Since the HVS is sensitive what happens on the edge area. This paper proposes ultrasound image watermarking using the visual threshold corresponding to the HVS in which the coefficients in a DCT-block have been classified based on the texture, edge, and plain area. This classification method enables not only useful for imperceptibility when the watermark is insert into an image but also achievable a robustness of watermark detection. A comparison of the proposed method with other methods has been carried out which shown that the proposed method robusts to blockwise memoryless manipulations, and also robust against noise addition.
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    Image watermarking based on adaptive models of human visual perception
    (2010-01-01)
    Khawne, Amnach
    ;
    Hamamoto, Kazuhiko
    ;
    Chitsobhuk, Orachat
    This paper proposes a digital image watermarking based on adaptive models of human visual perception. The algorithm exploits the local activities estimated from wavelet coefficients of each subband to adaptively control the luminance masking. The adaptive luminance is thus delicately combined with the contrast masking and edge detection and adopted as a visibility threshold. With the proposed combination of adaptive visual sensitivity parameters, the proposed perceptual model can be more appropriate to the different characteristics of various images. The weighting function is chosen such that the fidelity, imperceptibility and robustness could be preserved without making any perceptual difference to the image quality. © 2010 The Institute of Electrical Engineers of Japan.
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    A study of using L1-norm with image watermarking on SVD domain
    (2007-12-01)
    Khawne, Amnach
    ;
    Chitsobhuk, Orachat
    ;
    Nakamiya, Toshiyuki
    This paper presents a study of image watermarking using robust singular value decomposition in LI-norm subspace. The watermarked image attacked by noise is greatly degraded. This results in the effects of transparency and robustness of the watermarked image. Although the water-marking in SVD domain is sensitive to noise and outliers, incorporating L1-norm regression to the watermarking algorithm can help handling the missing data caused by noise and help increasing the robustness of the proposed algorithm. Experimental results show that the proposed algorithm can not only excellently reduce the bit error rates of the recovered watermark but also retain the transparency property of the watermarked image.