An innovative information hiding technique utilizing cumulative peak histogram regions

Al-Omari, Faruq A.; Al-Khaleel, Osama; Rayyashi, Ghassan A.; Ghwanmeh, Sameh

doi:10.1108/13287261211255356

Cited by 5 publications

(8 citation statements)

References 25 publications

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“…The embedding capacity evaluates how much pure payload, expressed in bits, can be embedded inside a cover image. The proposed method is compared with five related techniques: Li et al [40], Kouhi et al [44], Al-Omari et al's [35], Mowafi et al's [38], and Kim et al's [42] using eight typical 512 × 512 RGB color images (Lena, Baboon, Lake, Airplane, Boats, Pepper, Tiffany, and Barbara) as shown in Figure 11.…”

Section: Resultsmentioning

confidence: 99%

“…In this section, we briefly introduce the main concepts behind the histogram cumulativepeak regions of Al-Omari et al [35], pixel local complexity, and directional enclosed prediction and expansion. DEPE, Chen et al [36].…”

Section: Preliminariesmentioning

confidence: 99%

“…The histogram cumulative peak regions are utilized to hide multiple bits of the secret message by performing histogram bin localization Al-Omari et al [35] Based on the size of the secret message, the algorithm determines the ideal window size and the ideal number of cumulative peak regions. The window size designates how many consecutive histogram bins hold the most pixels from the host image.…”

Section: Histograms' Cumulative Peak Regionsmentioning

confidence: 99%

“…Several histogram-based RDH techniques have been proposed to hide secret information based on image histograms or prediction error histograms [13][14][15][17][18][19][24][25][26][27][35][36][37]. The reversible histogram shifting method embeds secret digital information into the least rightmost bit of the cover image histogram peak point.…”

Section: Related Workmentioning

confidence: 99%

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Adaptive 3D Reversible Data Hiding Technique Based on the Cumulative Peak Bins in the Histogram of Directional Prediction Error

et al. 2023

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Reversible data hiding (RDH) is crucial in modern data security, ensuring confidentiality and tamper-proofness in various industries like copyright protection, medical imaging, and digital forensics. As technology advances, RDH techniques become essential, but the trade-off between embedding capacity and visual quality must be heeded. In this paper, the relative correlation between the pixel’s local complexity and its directional prediction error is employed to enhance an efficient RDH without using a location map. An embedding process based on multiple cumulative peak region localization (MCPRL) is proposed to hide information in the 3D-directional prediction error histogram with a lower local complexity value and avoid the underflow/overflow problems. The carrier image is divided into three color channels, and then each channel is split into two non-overlapping sets: blank and shadow. Two half-directional prediction errors (the blank set and the shadow set) are constructed to generate a full-directional prediction error for each color channel belonging to the host image. The local complexity value and directional prediction error are critical metrics in the proposed embedding process to improve security and robustness. By utilizing these metrics to construct a 3D stego-Blank Set, the 3D stego-shadow Set will be subsequently constructed using the 3D blank set. The proposed technique outperforms other state-of-the-art techniques in terms of embedding capacity, image quality, and robustness against attacks without an extra location map. The experimental results illustrate the effectiveness of the proposed method for various 3D RDH techniques.

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Section: Resultsmentioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

Section: Histograms' Cumulative Peak Regionsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive 3D Reversible Data Hiding Technique Based on the Cumulative Peak Bins in the Histogram of Directional Prediction Error

et al. 2023

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“…Information is something that needs security. Besides that, the problem is copyright; a copyrighted work must be protected so that there is no misuse or recognition of work because it can harm the owner [1]. One of the means to secure a copyrighted work is on digital data such as photographs that are by using watermarking techniques, with watermarking identity in a digital data can be hidden so that it can be used as an identification mark that is not detected, such as author data or copyright information [2].…”

Section: Introductionmentioning

confidence: 99%

Technique of Hiding Information in Image using Least Significant Bit

Siahaan¹

2018

Preprint

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Information hiding is very important because a lot of data theft occurs which can result in significant losses. Data security can be done by hiding information into a media. This media can be in the form of images or sounds. There are several concealment techniques in the picture. In this study, we will discuss the hiding of information in a 24-bit color image which consits of 3 x 8-bit. The method used is Least Significant Bit (LSB). This method is used to insert messages into the 24-bit color image insertion media on every 1 of the most significant bits of each image color. The layers used are Red, Green, and Blue. This method has a small MSE and does not appear to differ if the image is seen directly with the eye. The results of the research show that MSE calculation is not so much different from the original image. Peak Signal to Noise ratio (PSNR) for each image inserted with the maximum message size can produce an average value above 40 dB. This LSB method is excellent to use to provide information in the form of images.

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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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An innovative information hiding technique utilizing cumulative peak histogram regions

Cited by 5 publications

References 25 publications

Adaptive 3D Reversible Data Hiding Technique Based on the Cumulative Peak Bins in the Histogram of Directional Prediction Error

Adaptive 3D Reversible Data Hiding Technique Based on the Cumulative Peak Bins in the Histogram of Directional Prediction Error

Technique of Hiding Information in Image using Least Significant Bit

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

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