A novel edge based image steganography with 2 k correction and Huffman encoding

Sun, Shuliang

doi:10.1016/j.ipl.2015.09.016

Cited by 60 publications

(21 citation statements)

References 5 publications

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“…This method increases the visual quality of kLSBs (k least significant bits) data hiding methods. The mathematical description of the 2 k correction is the following (Sun, 2016):…”

Section: K Correctionmentioning

confidence: 99%

Improved Reference Image Encryption Methods Based on 2 ^K Correction in the Integer Wavelet Domain

Tuncer

Doğan

Tadeusiewicz

et al. 2019

International Journal of Applied Mathematics and Computer Science

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Many visually meaningful image encryption (VMIE) methods have been proposed in the literature using reference encryption. However, the most important problems of these methods are low visual quality and blindness. Owing to the low visual quality, the pre-encrypted image can be analyzed simply from the reference image and, in order to decrypt nonblind methods, users should use original reference images. In this paper, two novel reference image encryption methods based on the integer DWT (discrete wavelet transform) using 2 k correction are proposed. These methods are blind and have high visual quality, as well as short execution times. The main aim of the proposed methods is to solve the problem of the three VMIE methods existing in the literature. The proposed methods mainly consist of the integer DWT, pre-encrypted image embedding by kLSBs (k least significant bits) and 2 k correction. In the decryption phase, the integer DWT and preencrypted image extraction with the mod operator are used. Peak signal-to-noise ratio (PSNR) measures the performances of the proposed methods. Experimental results clearly illustrate that the proposed methods improve the visual quality of the reference image encryption methods. Overall, 2 k correction and kLSBs provide high visual quality and blindness.

show abstract

“…This method increases the visual quality of kLSBs (k least significant bits) data hiding methods. The mathematical description of the 2 k correction is the following (Sun, 2016):…”

Section: K Correctionmentioning

confidence: 99%

Improved Reference Image Encryption Methods Based on 2 ^K Correction in the Integer Wavelet Domain

Tuncer

Doğan

Tadeusiewicz

et al. 2019

International Journal of Applied Mathematics and Computer Science

View full text Add to dashboard Cite

show abstract

“…At the same time, Huffman encoded bit stream as well as Huffman table is also embedded into the cover image for standalone facilities of the stego-image. Sun [1] also employed Huffman table and Huffman encoding for embedding secret data into the edge of the cover image. At the same time, a correction technique called k 2 correction is introduced to minimize the discrepancy between the stego and cover image.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, first message bit can be found from blue component. As the parity value of the blue component is even (1), the message bit is 1. Similarly, other message bits can be extracted from the rest of the pixels.…”

confidence: 99%

“…SSIM is defined as [29] : XY . 1 C and 2 C are constants with (5) After embedding full capacity secret messages in eighteen different cover images, the result of the stego-image for each cover image was produced and then MSEavg, PSNR, SSIM, BR values of the stego-images were calculated. Table 5, shows the comparison result of proposed algorithm between cover and stego image of eighteen 512*512 (24 bit color) size.…”

Section: Experimental Setting and Assessment Of Image Qualitymentioning

confidence: 99%

“…Such techniques seen in the literature include cryptography, watermarking and steganography [1][2]. One of the popular approaches is the steganography, which is the art and science of hiding information by embedding messages within cover media such as text, image, sound or video files [3].…”

Section: Introductionmentioning

confidence: 99%

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