2009 Fifth International Joint Conference on INC, IMS and IDC 2009
DOI: 10.1109/ncm.2009.85
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High Capacity and Robust Digital Image Watermarking

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Cited by 6 publications
(5 citation statements)
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“…By the transform domain, various transformations such as DCT [11,12], DFT [13,14], DWT [15,16] and SVD [17,18] were mainly used to convert the original images into the frequency domain, and then inverted after embedding watermark. Compared with the spatial domain method, the transform domain methods could embed more information without destroying the value of the original images.…”
Section: Literature Surveymentioning
confidence: 99%
“…By the transform domain, various transformations such as DCT [11,12], DFT [13,14], DWT [15,16] and SVD [17,18] were mainly used to convert the original images into the frequency domain, and then inverted after embedding watermark. Compared with the spatial domain method, the transform domain methods could embed more information without destroying the value of the original images.…”
Section: Literature Surveymentioning
confidence: 99%
“…The robustness of the approach (Kitanovski et al, 2005) was improved by the methods (Moosazadeh&Ekbatanifard,2017)and (Pun,2009)thatprovidehighrobustnessagainstJPEG compression.SomeoftheapproachesbasedonDCTusethehighfrequencycoefficientstoembed the watermark. This approach (Pun, 2009) The DCT based embedding can be applied to both grayscale and color images, where the author(Loanetal.,2018)usedchaoticencryption.Theembeddingprocessisreplicatedthricefor RGBchannelsiftheDCTapproachisappliedoncolorimages.Thewatermarkisembeddedon theadjacentblock'sDCTcoefficients.Arnoldtransformisalsousedtoimprovetheencryption providedinthechaoticmap.FromthestudiesofDCTbasedwatermarking,itisunderstandable thatthewatermarkingcanbedoneonlower-ordercoefficientsthanonhigher-ordercoefficients. Theenergyconcentrationismoreonlower-ordercoefficientsintheDCTtransformthantheDFT transform.Table2displaysthecomparisonofdifferentDCTapproacheswithitsadvantageand disadvantage.…”
Section: Discrete Cosine Transform (Dct)mentioning
confidence: 99%
“…Digital image watermarking techniques add a watermark into multimedia data to ensure authenticity and to protecting a copyright holder from the unauthorized manipulation of their data [12]. Hence, it is necessary to define the requirements or characteristics of a watermarking system, which are listed in the following subsections.…”
Section: Design Requirements Of Image Watermarking Systemmentioning
confidence: 99%
“…Their proposed method demonstrated better robustness in image authentication [78]. Another paper [12] introduced a method which was robust against JPEG compression along with a Gaussian low pass filter. This method embeds 4096 bits of information of an image whose dimension is 512 × 512 pixels, where adaptive quantization can be used to select the twelve representative DCT coefficients which embed the watermark.…”
Section: Discrete Cosine Transform (Dct)mentioning
confidence: 99%