A steganographic approach for secure communication of medical images based on the DCT-SVD and the compressed sensing (CS) theory

Thanki, Rohit M.; Borra, Surekha; Dwivedi, Ved Vyas; Borisagar, Komal R.

doi:10.1080/13682199.2017.1367129

Cited by 40 publications

(15 citation statements)

References 7 publications

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“…e reconstruction algorithm OMP is chosen. Here, [21] and [31] were selected for experimental comparison.…”

Section: Comparisonmentioning

confidence: 99%

“…Since the internal structure of each algorithm is different, the sizes of the carrier images and the compression ratio of the images will be inconsistent. e carrier image size proposed in the algorithm described in this paper is 512 × 512, and the carrier image size in [21] and [31] is 256 × 256. e compression ratio of [21] is fixed at 0.25, that of [31] is fixed at 1.0, and that of the algorithm proposed in this paper is 0.5. To ensure the validity of the experimental data, the encryption and decryption time of each image is averaged over multiple experiments.…”

Section: Comparisonmentioning

confidence: 99%

“…e reason is that [21] uses SHA-256 algorithm to generate the key which increases the transmission burden. Compared with [31], the compression ratio of the proposed algorithm is half that of [31], although the encryption time is relatively longer, but the decryption time is greatly shortened. However, NC values in Table 3 are little lower, but it is also acceptable.…”

Section: Comparisonmentioning

confidence: 99%

“…is image encryption method camouflages the existence of the original image, thus reducing the possibility of being attacked to a certain extent. As of now, many meaningful image encryption algorithms have been proposed [20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Inspired by [19], the work of [20] embeds multiple color images into nonessential areas of the carrier image to achieve visually meaningful effects.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [28] combines DWT and CS to encrypt the image, but the restoration effect of the original image is poor. Reference [31] uses compressive sensing and discrete cosine transform-(DCT-) singular value decomposition (SVD) for medical image steganography. e restoration effect of the algorithm is good, but compressive sensing is performed upon the original image directly.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Novel Meaningful Image Encryption Based on Block Compressive Sensing

Pan

Huang

et al. 2019

Security and Communication Networks

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is paper proposes a new image compression-encryption algorithm based on a meaningful image encryption framework. In block compressed sensing, the plain image is divided into blocks, and subsequently, each block is rendered sparse. e zigzag scrambling method is used to scramble pixel positions in all the blocks, and subsequently, dimension reduction is undertaken via compressive sensing. To ensure the robustness and security of our algorithm and the convenience of subsequent embedding operations, each block is merged, quantized, and disturbed again to obtain the secret image. In particular, landscape paintings have a characteristic hazy beauty, and secret images can be camou aged in them to some extent. For this reason, in this paper, a landscape painting is selected as the carrier image. After a 2-level discrete wavelet transform (DWT) of the carrier image, the lowfrequency and high-frequency coe cients obtained are further subjected to a discrete cosine transform (DCT). e DCT is simultaneously applied to the secret image as well to split it. Next, it is embedded into the DCT coe cients of the low-frequency and high-frequency components, respectively. Finally, the encrypted image is obtained. e experimental results show that, under the same compression ratio, the proposed image compression-encryption algorithm has better reconstruction e ect, stronger security and imperceptibility, lower computational complexity, shorter time consumption, and lesser storage space requirements than the existing ones.

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“…e reconstruction algorithm OMP is chosen. Here, [21] and [31] were selected for experimental comparison.…”

Section: Comparisonmentioning

confidence: 99%