A new approach in color image steganography with high level of perceptibility and security

Bhowmik, Soumen; Bhaumik, Arup Kumar

doi:10.1109/icicpi.2016.7859718

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…For instance, in the 8-bit image file size 256x256 pixels, there is 65536 pixels, each pixel measured 1 byte. Since it's converted to 24-bit image, the bitmap data size becomes 65536 x 3 = 196608 bytes (Bhowmik 2016). Since that each byte could only stealth one bit in its LSB, so that the size of the data to be concealed in the maximum image is 196608/8 = 24576 bytes.…”

Section: Methods Of Least Significant Bit Hidingmentioning

confidence: 99%

“…Steganography one of the methods to conceal confidential messages which safe and hard to detect by human vision. Messages can be in text, images, audio, video with data quality maintained (Bhowmik 2016). The word Steganography comes from Greek, means closed or covered letter, which include the various ways of confidential communication mighty efficiently.…”

Section: Introductionmentioning

confidence: 99%

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Watermarking Method of Remote Sensing Data Using Steganography Technique Based on Least Significant Bit Hiding

Hutapea

Hutapea²

2018

IJReSES

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Remote sensing satellite imagery is currently needed to support the needs of information in various fields. Distribution of remote sensing data to users is done through electronic media. Therefore, it is necessary to make security and identity on remote sensing satellite images so that its function is not misused. This paper describes a method of adding confidential information to medium resolution remote sensing satellite images to identify the image using steganography technique. Steganography with the Least Significant Bit (LSB) method is chosen because the insertion of confidential information on the image is performed on the rightmost bits in each byte of data, where the rightmost bit has the smallest value. The experiment was performed on three Landsat 8 images with different area on each composite band 4,3,2 (true color) and 6,5,3 (false color). Visually the data that has been inserted information does not change with the original data. Visually, the image that has been inserted with confidential information (or stego image) is the same as the original image. Both images cannot be distinguished on histogram analysis. The Mean Squared Error value of stego images of all three data less than 0.053 compared with the original image. This means that information security with steganographic techniques using the ideal LSB method is used on remote sensing satellite imagery.

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Section: Methods Of Least Significant Bit Hidingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Watermarking Method of Remote Sensing Data Using Steganography Technique Based on Least Significant Bit Hiding

Hutapea

Hutapea²

2018

IJReSES

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“…of pixel of the image Hence we obtained the average value for each region which is the key value. 7. Selects the pixels in each region, which satisfy the following condition; inside the cover image embeds the stego bit to the selected pixels.…”

Section: A Embedding Algorithmmentioning

confidence: 99%

Innovative Region Based Steganographic Technique to Provide Security and Authentication to Digital Image

2019

IJRTE

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In this advanced world with the growing technology, the demand for security of information is needed in any communication streams of data which is being conveyance from host to intended host over the internet. Obviously, a huge & numerous amount of the data or the information are transferred in our everyday. So, the demand for securing information has become the main concern. Image Steganography is one of the important areas in the field of Steganography. The main purpose of steganography is to protect the surreptitious information from others except from intended receiver & by increasing the security of the covert data in the significant way that information can’t be revealed although the intruder knows the methodology of the embedding process. In this paper, The aim is to propose a different yet, an innovative steganographical technique which provides the security on our digital image, and by using a quality measuring technique like Mean Square Error(MSE), Peak Signal Noise Ratio (PSNR) which assure the quality of image has been not degraded even after infusing the covert data inside the image. So to overcome these issues, this paper, suggests a new method to maintain the quality of the image. After embedding the authenticated information in the cover image using Region-Based Least Significant Bit (LSB) technique that provides security of digital image

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Novel Color Image Data Hiding Technique Based on DCT and Compressed Sensing Algorithm

Shyla

Kumar

2019

Lecture Notes in Electrical Engineering

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A new approach in color image steganography with high level of perceptibility and security

Cited by 9 publications

References 9 publications

Watermarking Method of Remote Sensing Data Using Steganography Technique Based on Least Significant Bit Hiding

Watermarking Method of Remote Sensing Data Using Steganography Technique Based on Least Significant Bit Hiding

Innovative Region Based Steganographic Technique to Provide Security and Authentication to Digital Image

Novel Color Image Data Hiding Technique Based on DCT and Compressed Sensing Algorithm

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