Geometrically invariant and high capacity image watermarking scheme using accurate radial transform

Singh, Chandan; Ranade, Sukhjeet K.

doi:10.1016/j.optlastec.2013.05.016

Cited by 20 publications

(7 citation statements)

References 27 publications

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“…Here, I(i,j) -Original 3D cover object BER is the number of bit errors divided by the total number of transferred bits during a studied time interval. The BER value is calculated using (8).…”

Section: Performance Analysismentioning

confidence: 99%

Hypothesis-based vertex shift method for embedding secret logos in thegeometric features of 3D objects

Rajakumar¹,

Kaliappan²,

Rajendran³

2019

Turk J Elec Eng & Comp Sci

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A recent challenge in information technology is to protect secret data and preserve the ownership of a product.There are many duplicate products being released on a daily basis. Owners have a high risk in proving their products.Watermarking is a technique used to preserve ownership by hiding the owner's information in their products. The proposed hypothesis-based vertex shifting algorithm embeds 2D secret logos in 3D cover objects. The 3D objects are represented using vertices and facets. 3D watermarking faces various challenges and one among them is capacity. In this work, capacity is addressed by using a hypothesis-based vertex shift method that enables the embedding process for all the coordinates of the vertex. The method works by partitioning the vertex based on a shift factor called svalue. The svalue is chosen based on the visual quality of the watermarked object. The metrics used for testing are bit error rate for the recovered watermark, peak-to-signal noise ratio, and vertex signal-to-noise ratio (VSNR) of the watermarked 3Dimage. The proposed algorithm shows that a maximum of 3 bits can be embedded in a vertex when compared with the existing algorithms. The VSNR value of the proposed algorithm is high (125.87) compared to the existing algorithms.This shows that the algorithm withstands visual quality inspection. Hence, it is a robust watermarking algorithm for embedding secret logos into 3D objects with better visual quality and higher resilience against translation and uniform scaling attacks.Key words: 3D objects, watermarking, peak signal-to-noise ratio, bit error rate, vertex signal-to-noise ratio, attack, translation attack, uniform scaling attack There are many techniques used to perform 2D watermarking [1,2]. In 3D watermarking, the 3D cover object is taken as the cover image and the secret data can be text, 2D images, or 3D objects.Classification based on the embedding process is in the spatial domain or frequency domain. Spatialdomain watermarking embeds the secret data in the geometrical features of the cover image. In transform-

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Section: Performance Analysismentioning

confidence: 99%

Hypothesis-based vertex shift method for embedding secret logos in thegeometric features of 3D objects

Rajakumar¹,

Kaliappan²,

Rajendran³

2019

Turk J Elec Eng & Comp Sci

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“…This decision depends on the type of authentication methods for digital image forensic [4]. Two main types of authentication methods in digital image forensic have been explored in the literature: (1) active methods [5][6][7][8][9][10], and (2) passive methods [2,[11][12][13][14].…”

Section: Related Workmentioning

confidence: 99%

“…In the past few years, digital watermarking has been applied to authenticate and localise tampered regions within images [9,10,16,17]. Fragile and semi-fragile digital watermarking techniques are often utilised for image authentication.…”

Section: Related Workmentioning

confidence: 99%

Detection of Scaled Region Duplication Image Forgery using Color based Segmentation with LSB Signature

Diaa¹,

Mohammed²

2017

ijacsa

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Abstract-Due to the availability of powerful image editing softwares, forgers can tamper the image content easily. There are various types of image forgery, such as image splicing and region duplication forgery. Region duplication is one of the most common manipulations used for tampering digital images. It is vital in image forensics to authenticate the digital image. In this paper, a novel region duplication forgery detection approach is proposed. By segmenting the input image based on the colour features, sufficient number of centroids are produced, that exist even in small or smooth regions. Then, the Least Significant Bit (LSB) of all the colours of pixels in each segment are extracted to build the signature vector. Finally, the hamming distance is calculated through exploiting the signature vector of image to find the dissimilarity. Various experimental results are provided to demonstrate the superior performance of the proposed scheme under some post processing operations such as scaling attack.

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“…Discrete cosine transform (DCT) [4][5][6][7][8][9], discrete Fourier transform (DFT) [10,11] and discrete wavelet transform (DWT) [12][13][14][15][16] are commonly used frequency-domain techniques. Recently, some watermarking methods have been proposed that use various decomposition and transform techniques jointly [17][18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…In [23], a different type of image watermarking method in the angular radial transform (ART) domain is proposed, in which the watermark bit is embedded in the geometric invariant domain. While these methods are efficient under the scaling or rotation attacks, the performance is still drastically degraded against other geometric attacks such as cropping.…”

Section: Introductionmentioning

confidence: 99%

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

et al. 2020

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Copyright protection of multimedia content is confronted with great challenges such as easy access to the Internet. Digital watermarking is widely applicable technique for copyright protection of multimedia contents. In this paper, a blind symmetric watermarking method in canonical and cepstrum domains based on four-connected t-o'clock scrambling is proposed. Initially, the watermark image is scrambled using the four-connected t-o'clock method to enhance the security. Then, the rotation operation is applied to the host image to extract the region where the watermark bits are embedded. After that, discrete linear canonical transform (DLCT) is applied to the extracted region to obtain the DLCT region. Cepstrum transform (CT) is performed on DLCT region to attain CT region. The CT region is then divided into non-overlapping blocks. The watermark bits are inserted into each block using max-heap and min-heap tree property. Experimental results illustrate that the proposed method shows high robustness against numerous attacks. Moreover, it produces high quality watermarked images and provides high security. Furthermore, it has superior performance to recent methods in terms of imperceptibility, robustness, and security.

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Geometrically invariant and high capacity image watermarking scheme using accurate radial transform

Cited by 20 publications

References 27 publications

Hypothesis-based vertex shift method for embedding secret logos in thegeometric features of 3D objects

Hypothesis-based vertex shift method for embedding secret logos in thegeometric features of 3D objects

Detection of Scaled Region Duplication Image Forgery using Color based Segmentation with LSB Signature

Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

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