Adaptive image watermarking algorithm based on block DCT transform and Arnold shuffling

Feng, Maoyan; Bao, Feng; Chun-lin, Shen

doi:10.3724/sp.j.1087.2008.00171

Cited by 8 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We experimented with data from the cancer imaging archive (TCIA) [ 27 ] medical imaging database. TCIA is an open-access database of medical images for cancer research.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, scrambling technology is reversible, and a scrambled image can be recovered completely lossless. In scrambling technology, Arnold transformation has been widely studied and the theoretical system is relatively complete [26][27][28]. Therefore, we have elected to adopt Arnold transformation in our method to encrypt images.…”

Section: Arnold Transformationmentioning

confidence: 99%

See 1 more Smart Citation

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

Zhang

et al. 2020

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

Background Medical image data, like most patient information, have a strong requirement for privacy and confidentiality. This makes transmitting medical image data, within an open network, problematic, due to the aforementioned issues, along with the dangers of data/information leakage. Possible solutions in the past have included the utilization of information-hiding and image-encryption technologies; however, these methods can cause difficulties when attempting to recover the original images. Methods In this work, we developed an algorithm for protecting medical image key regions. Coefficient of variation is first employed to identify key regions, a.k.a. image lesion areas; then additional areas are processed as blocks and texture complexity is analyzed. Next, our novel reversible data-hiding algorithm embeds lesion area contents into a high-texture area, after which an Arnold transformation is utilized to protect the original lesion information. After this, we use image basic information ciphertext and decryption parameters to generate a quick response (QR) code used in place of original key regions. Results The approach presented here allows for the storage (and sending) of medical image data within open network environments, while ensuring only authorized personnel are able to recover sensitive patient information (both image and meta-data) without information loss. Discussion Peak signal to noise ratio and the Structural Similarity Index measures show that the algorithm presented in this work can encrypt and restore original images without information loss. Moreover, by adjusting the threshold and the Mean Squared Error, we can control the overall quality of the image: the higher the threshold, the better the quality and vice versa. This allows the encryptor to control the amount of degradation as, at appropriate amounts, degradation aids in the protection of the image. Conclusions As shown in the experimental results, the proposed method allows for (a) the safe transmission and storage of medical image data, (b) the full recovery (no information loss) of sensitive regions within the medical image following encryption, and (c) meta-data about the patient and image to be stored within and recovered from the public image.

show abstract

“…We experimented with data from the cancer imaging archive (TCIA) [ 27 ] medical imaging database. TCIA is an open-access database of medical images for cancer research.…”

Section: Resultsmentioning

confidence: 99%

Section: Arnold Transformationmentioning

confidence: 99%

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

Zhang

et al. 2020

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

show abstract

“…Two fixed coefficients are selected in DCT middle frequency domain, which is ( 1,1) D u v and ( 2, 2) D u v . This paper puts forward to adjust two coefficient relationships according to formula (5), which is given as…”

Section: Watermark Embeddingmentioning

confidence: 99%

“…At present, scrambling the watermark image transformation method commonly uses Arnold transform [5], but Arnold transform has computation complexity. Based on this, a new image scrambling algorithm based on the M-sequence is presented.…”

Section: Introductionmentioning

confidence: 99%

A Watermark Algorithm Based on DCT and M Sequence Scrambling

2012

AMM

View full text Add to dashboard Cite

Image scrambling is an approach to secure the image data by scrambling the image into an unintelligible format. Based on M sequence which can be produced by a series shift registers, this paper proposes a method of scrambling 2-bit watermark image, in which the effectiveness is controlled by given private keys. The user can change the security keys to generate many different M sequences. In watermark embedding algorithm, block DCT with size of 8×8 is performed on the given image, the relationship between the selected DCT middle frequency coefficients is used to embed scrambled watermark. When extracting watermark from the watermarked image no original image is needed. The simulation results show the proposed scheme can guarantee high visual quality of watermarked image, and the same time attain a good robustness to common image processing and attacks.

show abstract

An Image Information Hiding Algorithm Based on Three-Coefficient Block Encoding in DCT Domain

Sun

Xue

Zhao

et al. 2010

2010 International Conference on Computational Intelligence and Software Engineering

View full text Add to dashboard Cite

Adaptive image watermarking algorithm based on block DCT transform and Arnold shuffling

Cited by 8 publications

References 1 publication

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

A Watermark Algorithm Based on DCT and M Sequence Scrambling

An Image Information Hiding Algorithm Based on Three-Coefficient Block Encoding in DCT Domain

Contact Info

Product

Resources

About