A feature adaptive image watermarking framework based on Phase Congruency and Symmetric Key Cryptography

Koley, Subhadeep

doi:10.1016/j.jksuci.2019.03.002

Cited by 17 publications

(9 citation statements)

References 13 publications

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“…The PSNR value obtained in this method is as high as 67.98dB. Unlike the proposed method in [1], the band in which the secret image is embedded is dynamically chosen based on Phase Congruency of the bands. This makes the proposed method effective and robust against attacks like compression, rotation, salt and pepper, etc.…”

Section: Discussionmentioning

confidence: 99%

“…This makes the proposed method effective and robust against attacks like compression, rotation, salt and pepper, etc. In [1], the blue color band of the host image is chosen for hiding the secret image into it. Therefore, the phase congruency correlative method helps us in the dynamic selection of the optimal color band for successful concealing of the secret image into it without affecting the host image.…”

Section: Discussionmentioning

confidence: 99%

“…The Phase Congruency (PC) is used for the detection of local features of an image [1]. It specifies the frequency spread in an image.…”

Section: Performance Metrics 41 Phase Congruency (Pc)mentioning

confidence: 99%

“…After finding all the values of PC of all the color bands, whichever band gives the highest PC is chosen as an optimal band for embedding the secret image into it. In [1], blue color band is chosen as the default band for embedding secret image into it using Adaptive α-β Blending method, whereas in our proposed method, the optimal color band is found based on the highest value of PC. The expression for calculating PC at a particular position in an image is given by the equation ( 1) below:…”

Section: Performance Metrics 41 Phase Congruency (Pc)mentioning

confidence: 99%

“…Arnold Cat Map is used for scrambling the secret image before it is embedded into the optimal color band of the host image. The Arnold Cat Map equation (as given in [1]) is given by the equation given below:…”

Section: Arnold Cat Map (Acm)mentioning

confidence: 99%

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An effective and robust approach of Image Cryptography using Phase Congruence Correlative method and Arnold Cat Map

2020

IJATCSE

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In this paper, an effective and robust method of image cryptography scheme is proposed using Phase Congruence Correlative (PCC) method and Arnold Cat Map (ACM). The secret image or a secret watermark is scrambled using ACM method. This scrambled secret image is then embedded into a host image using Adaptive α-β Blending method. The place of embedding in the host image is effectively obtained using PCC method. The embedded image is subjected to various attacks and the secret image is retrieved from the distorted embedded image. This retrieved secret image is compared with the original secret image and various parameters like Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE), Absolute Difference (AD), Mean Absolute Error (MAE), Maximum Difference (MD) are obtained. This proposed method proves to provide better performance metrics over the past methods.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…The Phase Congruency (PC) is used for the detection of local features of an image [1]. It specifies the frequency spread in an image.…”

Section: Performance Metrics 41 Phase Congruency (Pc)mentioning

confidence: 99%

Section: Performance Metrics 41 Phase Congruency (Pc)mentioning

confidence: 99%

Section: Arnold Cat Map (Acm)mentioning

confidence: 99%

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An effective and robust approach of Image Cryptography using Phase Congruence Correlative method and Arnold Cat Map

2020

IJATCSE

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A spatial domain‐based color image blind watermarking scheme integrating multilevel discrete Hartley transform

Zhang

2021

Int J Intell Syst

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In this paper, a spatial domain‐based blind watermarking scheme of color images integrating multilevel discrete Hartley transform (DHT) is proposed to protect color digital images' copyright under the current 5G network environment. On the basis of the unique spatial computing property of the maximum energy coefficient of DHT and the energy aggregation principle of multilevel image transform, the color watermark image scrambled by Affine transform is directly hidden into color carrier image by quantitative techniques in the spatial domain, rather than the complex DHT domain. The specific performance of the scheme in various aspects is as follows: (1) the average value of the peak signal‐to‐noise ratio is higher than 40 dB; (2) the average value of structural similarity index metric remains above 0.9700; (3) the average value of normalized cross‐correlation under no attack is 1.0000; (4) the average value of normalized cross‐correlation. under attack is above 0.9600; (5) the total execution time is 1.1856 s; (6) the maximum embedding capacity is 0.0625 bpp; and (7) the entire key space is greater than 2432. Multiple simulation results demonstrate that the proposed scheme is not merely imperceptible and robust, but also secure and efficient, which can protect the digital copyright with effect.

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An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations, and Future Directions

Paikaray

Dewangan

Swain

et al. 2020

Machine Learning and Information Processing

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A feature adaptive image watermarking framework based on Phase Congruency and Symmetric Key Cryptography

Cited by 17 publications

References 13 publications

An effective and robust approach of Image Cryptography using Phase Congruence Correlative method and Arnold Cat Map

An effective and robust approach of Image Cryptography using Phase Congruence Correlative method and Arnold Cat Map

A spatial domain‐based color image blind watermarking scheme integrating multilevel discrete Hartley transform

An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations, and Future Directions

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