Dual images in reversible data hiding with adaptive color space variation using wavelet transforms

Raju, K. Upendra; Prabha, N. Amutha

doi:10.1108/ijius-08-2021-0095

Cited by 6 publications

(4 citation statements)

References 6 publications

(7 reference statements)

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“…So, the main focus of this study is HSI model. In HSI color Model, changing from one model to the other is an open process while creating colors in the RGB and CMY models [19]. For hardware implementations, ideally suited is this color system.…”

Section: Summary Of Related Workmentioning

confidence: 99%

A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

Rahman

Uddin

Hussain³

et al. 2023

Preprint

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It is essential in the field of cover steganography to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, robust, and working on the visual quality is the essential factors of this research to make a reliable mechanism. We can’t compromise on image quality up to a confident flat because it halts the concepts of cover steganography while the maximum embedding limit is also the main factor that makes the technique more efficient. So, Image steganography is the state of art method that hides a data inside any cover mediums such as images, videos, texts, audios etc. Steganography is the specialty of implanting a mystery message so that nobody can think of it or no unaided eye can identify it. There is no information on the current information inside the cover object in the wake of encrypting. In the recent couple of years, due to the achievement of accelerated popularity of the internet, various organizations such as government offices, military, private companies etc. use different transferring methods for exchanging their information. The internet has various benefits and a few demerits. The primary bad mark is protection and security and information transmission over an unreliable network. Different cover steganography research strategies have been recommended as of late yet, and each adores its benefits and impediments but, there is the need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, this paper proposed a future method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concept, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The suggested method used an encrypted algorithm to upheld the appearances of the image. The algorithm also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM) etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

show abstract

Section: Summary Of Related Workmentioning

confidence: 99%

A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

Rahman

Uddin

Hussain³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…So, the main focus of this study is the HSI model. In HSI color Model, changing from one model to the other is an open process while creating colors in the RGB and CMY models 17 . For hardware implementations, this ideally suited this color system.…”

Section: Summary Of the Related Workmentioning

confidence: 99%

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Rahman,

Uddin,

Hussain

et al. 2023

Sci Rep

View full text Add to dashboard Cite

In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

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“…Our work supports the representation of data as images. Some articles offered dual image hiding in the cover image, where various techniques are utilised for individual images, including lifting wavelet transform (LWT) and discrete wavelet transform (DCT) [24]. There were also papers which proposed image hiding based on image histogram statistics where cumulative peak values of histograms are used for storing data and parameters like PSNR values were also taken into care to improve visual aspects of the image [25] .The authors proposed ANN artificial neural network architecture(ANN), which is used in conjunction with MPEG-7 texture decoder to retrieve the masked data from the cover image using texture as the comparison parameter.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Encryption and Decryption of Images with Pixel Data Modification Using Hand Gesture Passcodes

Kumar

Reddy

Das

et al. 2023

IJRITCC

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To ensure data security and safeguard sensitive information in society, image encryption and decryption as well as pixel data modifications, are essential. To avoid misuse and preserve trust in our digital environment, it is crucial to use these technologies responsibly and ethically. So, to overcome some of the issues, the authors designed a way to modify pixel data that would hold the hidden information. The objective of this work is to change the pixel values in a way that can be used to store information about black and white image pixel data. Prior to encryption and decryption, by using Python we were able to construct a passcode with hand gestures in the air, then encrypt it without any data loss. It concentrates on keeping track of simply two pixel values. Thus, pixel values are slightly changed to ensure the masked image is not misleading. Considering that the RGB values are at their border values of 254, 255 the test cases of masking overcome issues with the corner values susceptibility.

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Dual images in reversible data hiding with adaptive color space variation using wavelet transforms

Cited by 6 publications

References 6 publications

A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

A Huffman Code LSB based Image Steganography Technique Using Multi-Level Encryption and Achromatic Component of an image

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Encryption and Decryption of Images with Pixel Data Modification Using Hand Gesture Passcodes

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