A data hiding technique by mixing MFPVD and LSB substitution in a pixel

Swain, Gandharba

doi:10.5755/j01.itc.47.4.19593

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…( 24). 37 In this equation P ij and Q ij are pixel values for OI and WI accordingly. PSNR is expressed in dB E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 2 4 ; 1 1 4 ; 1 0 6…”

Section: Resultsmentioning

confidence: 99%

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Image watermarking based on remainder value differencing and extended Hamming code

Gottimukkala,

Kumar,

Dash

et al. 2023

J. Electron. Imag.

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Due to the availability of various photo editing tools, intruders can tamper with an image very easily. So, various watermarking and tamper detection approaches have been proposed by researchers. Basically, tamper detection techniques focus on embedding the watermark, extracting the water mark, and identifying the tampered regions. But it is very important that the tampered pixels should also be corrected. We bring forward an image watermarking technique for tamper detection and correction using remainder value differencing (RVD) and extended Hamming code (EHC). It operates on a pixel group of size 2 × 2. Watermark bits (WBs) are generated from four most significant bits of the pixels in a pixel group by EHC and concealed in four lower bit planes by the principle of RVD. The WBs are extracted at the receiver along with the identification of tampered pixels. The tampered pixels are corrected by the developed correction logic. As the principle of RVD is used, precautions are taken to avoid the fall-off boundary problem. The efficacy of this technique is accessed through various quality metrics. It is noted that it performs better than the existing techniques. The recorded peak signal-to-noise ratio value is 45.49 dB with structural similarity value 0.9889. The tampered pixels are identified and corrected.

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“…( 24). 37 In this equation P ij and Q ij are pixel values for OI and WI accordingly. PSNR is expressed in dB E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 2 4 ; 1 1 4 ; 1 0 6…”

Section: Resultsmentioning

confidence: 99%

“…The distortion in WIs is computed in terms of PSNR by Eq. (24) 37 . In this equation Pij and Qij are pixel values for OI and WI accordingly.…”

Section: Resultsmentioning

confidence: 99%

Image watermarking based on remainder value differencing and extended Hamming code

Gottimukkala,

Kumar,

Dash

et al. 2023

J. Electron. Imag.

Self Cite

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“…As a result, edge pixels can hold more hidden bits than smooth pixels. In most applications, metaheuristic algorithms are employed to tackle optimization problems [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Data Confidentiality in Healthcare Monitoring Systems Based on Image Steganography to Improve the Exchange of Patient Information Using the Internet of Things

AlEisa

2022

Journal of Healthcare Engineering

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Recently, with the availability of fast and reliable Internet, the distance between a patient and a doctor is becoming unimportant. Physicians will be able to request the medical images of their patients regardless of the geographical area. However, a lot of challenges face such successful implementation. To facilitate remote diagnosis, patient electronic medical record (EMR), including medical images, that originates in one system needs to be exchanged either within the same organization or across different organizations. Steganography is the practice of concealing a secret message inside a cover medium. In this paper, steganography will be used to embed the patient’s personal information securely and imperceptibly in their medical images to enhance confidentiality in case of a distant diagnosis. The security of the medical data is improved to maintain confidentiality and integrity using IoT. The least significant bit of the approximate coefficient of integer wavelet transform is proposed. The distortion between the cover image and stego-image is obtained by measuring the mean square error and PSNR, and normalized cross-correlation is utilized to estimate the degree of closeness between the cover image and stego-image.

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Image Encryption for Secure Internet Transfer

Chaitanya

Koshy

Kumar

et al. 2021

Smart Technologies in Data Science and Communication

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been an important aspect of consideration in daily life communication and with the advent of including sensitive data like corporate files, personal data etc., increasingly moving online, it has become more important than ever to provide secure communication methods. One such method is using encryption and steganography. Encryption is the process of converting ordinary plaintext data into an alternative form that is unreadable by perpetrators without authorization. Furthermore, steganography is the practice of hiding a file, message, video, or image within another such file. In this paper, we introduce a web-application that will enable the user to encrypt the data in a file of his choice and then hide it within a picture or GIF. This will provide the layman an application that is easy to use to communicate securely, even without extensive technical knowledge. The encryption algorithm used will be the AES-256 algorithm and the steganographic algorithm will be Syndrome-Trellis Codes (STCs) for their high embedding efficiency. The results display that the system designed offers a significant security level.

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A data hiding technique by mixing MFPVD and LSB substitution in a pixel

Cited by 9 publications

References 27 publications

Image watermarking based on remainder value differencing and extended Hamming code

Image watermarking based on remainder value differencing and extended Hamming code

Data Confidentiality in Healthcare Monitoring Systems Based on Image Steganography to Improve the Exchange of Patient Information Using the Internet of Things

Image Encryption for Secure Internet Transfer

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