Adaptive Pixel Value Grouping for Protecting Secret Data in Public Computer Networks

Prabowo, Hendro; Ahmad, Tohari

doi:10.12720/jcm.13.6.325-332

Cited by 7 publications

(8 citation statements)

References 20 publications

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“…It shows that our method outperforms that of [17] in all test images. For method in [18], our method is better for medical images (i.e. Abdominal, Hand, Head, and Leg).…”

Section: Quality and Capacity Of Stego Imagementioning

confidence: 94%

“…Abdominal, Hand, Head, and Leg). This happens because in [17], there is no block selection before embedding the data; while in [18], pixel grouping is implemented for embedding the data. This method is suitable in non-medical images but does not give significant effect in the smoother carrier images, such as medical images.…”

Section: Quality and Capacity Of Stego Imagementioning

confidence: 99%

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Enhancement of Pixel Value Ordering Based Data Hiding by Row Block Partition

Prabowo

Ahmad

2018

Jurnal Ilmu Komputer dan Informasi

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The development of information and communication technology that support digital data transmission such as text, image, audio and video gives several effects. One of them is data security that becomes the main priority during the transmission process. Pixel-Value-Ordering (PVO) which one of data hiding methods can be implemented to achieve the requirement. It embeds data on maximum pixel and minimum pixel in a blok which is a part of the carrier image. However, PVO has capacity a problem, that only 2 bits per block can be hidden. To handle this problem, we propose a new approach by dividing blocks dinamically based on its complexity. These blocks are grouped into 4: smooth block, semi-smooth block, normal block and rough block. Using this approach, the stego capacity can be improved up to 2.6 times in average of previous method by keeping the quality stego more than 65 dB for all testing image.

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“…It shows that our method outperforms that of [17] in all test images. For method in [18], our method is better for medical images (i.e. Abdominal, Hand, Head, and Leg).…”

Section: Quality and Capacity Of Stego Imagementioning

confidence: 94%

Section: Quality and Capacity Of Stego Imagementioning

confidence: 99%

Enhancement of Pixel Value Ordering Based Data Hiding by Row Block Partition

Prabowo

Ahmad

2018

Jurnal Ilmu Komputer dan Informasi

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“…A histogram is used as a reference for the embedding phase, or the PE histogram can provide a higher number of pixel frequencies. This method is also used and further refined in [18][19][20]. Rad et al [21] then established a checkerboard predictor (CBP).…”

Section: Related Workmentioning

confidence: 99%

Enhancing Quality of the Stego Image by Using Histogram Partition and Prediction Error

Islamy¹,

Ahmad²

2021

IJIES

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The widespread use of the internet to communicate with each other can introduces data security issues. Therefore, a reliable technique to secure information is becoming mandatory. Data hiding is a method to secure data by hiding it in cover media. In this research, we present a secure data hiding method by using images as cover. This research proposed the use of prediction error (PE) of images and utilization of the histogram-based method to conceal data. The histogram-based method can conceal data and still preserve the quality of the image. However, its lower hiding space can be a drawback. To overcome this, instead of using a histogram from the image's pixel, we calculate the error value of images and create a histogram from it. After that, we divide the histogram into partitions, whose peak is as the reference point for the embedding process. We utilize more than one error value in each partition to further increase the embedding space. Based on the experimental result, with the same image dataset, the average of PSNR values improved by 17.94 dB for general images and 14.95 dB for medical images compared to previous methods. These increases are statistically significant for the visual image quality, where the final PSNR values are between 61 and 66 dB, and between 62 and 68 dB for general and medical images, respectively. It is higher than the minimum standard of stego image quality, which is 30 dB.

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“…The main weakness in the HS scheme can be eliminated because the PE histogram is able to produce a histogram with a higher number of frequencies. This scheme is further developed in [14][15][16].…”

Section: Related Workmentioning

confidence: 99%

“…The process of embedding the last bit of secret data can be described by using Eq. (14). The location of PE value is also stored using Eq.…”

Section: Histogram Modificationmentioning

confidence: 99%

Improving the Quality of Stego Image Using Prediction Error and Histogram Modification

Islamy¹,

Ahmad²

2019

IJIES

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The transmitted information on the internet are prone to security concerns. To overcome this issue, some security methods have been developed in the last few decades. One of the reliable techniques to secure data is called data hiding. This method can be used in various multimedia data, like image, video, text, and audio. Histogram shifting (HS) is a reliable data hiding method used in digital images. It can preserve the similarity of the stego and original image; although, the amount of the protected data depends on the frequency of the most amount pixel in the original image. To solve this problem, we combine HS with prediction error (PE). By using the histogram generated by PE, the size of data that can be embedded increases. In the embedding phase, we do not shift the histogram, different from the existing methods. It is to maintain its original form as high as possible. Moreover, each PE value can contain more data. Based on the experimental result, the average increase in PSNR is 24.8075 dB for general images and 21.5625dB for medical images; while the average improvement of SSIM is 0.026823 and 0.022863 for general and medical images, respectively.

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Adaptive Pixel Value Grouping for Protecting Secret Data in Public Computer Networks

Cited by 7 publications

References 20 publications

Enhancement of Pixel Value Ordering Based Data Hiding by Row Block Partition

Enhancement of Pixel Value Ordering Based Data Hiding by Row Block Partition

Enhancing Quality of the Stego Image by Using Histogram Partition and Prediction Error

Improving the Quality of Stego Image Using Prediction Error and Histogram Modification

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