Extended visual cryptography-based copyright protection scheme for multiple images and owners using LBP–SURF descriptors

Kukreja, Sonal; Kasana, Geeta; Kasana, Singara Singh

doi:10.1007/s00371-020-01883-9

Cited by 10 publications

(8 citation statements)

References 32 publications

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“…to have been encoded in just such a way that perhaps the decoded results indicate mostly as a visual object. A few of the bestknown methods were recognized as "Moni Naor and Adi Shamir", which formed that in 1994 [12]. Steganography approaches can be exploited by two groups of people: those in the Image Domain and those in the Transform Coefficients.…”

Section: Visual Cryptography and Methods Challengesmentioning

confidence: 99%

A Hybrid Visual Cryptography Method using Sigmoid Function for Security Enhancement in Gray Scale Images

Kumar¹,

Patidar²,

Saxena³

et al. 2021

IJAINN

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Visual encryption technology becomes the latest research area in which a lot of scopes persist. Presently such a particular cryptosystem procedure is now used by numerous other countries around the world for the private transmission of formal records, financial documents, content visuals, digital voting, and so on. Visualization Cryptographic algorithms one of the protected methods of transferring pictures online. The main benefit of image encryption has been that it disguises peripheral vision with encrypt data secret data with no computation usually needed. In this work a hybrid visual cryptography method using a sigmoid function (HVMSF) for enhancing the security in gray images. HVMSF strategy utilizes a chaos framework to scramble pixel values as well as blocks while using the Modified Arnold Cat Map method (MACM) as well as the Henon Map method (HMM). The methodology includes a confusion procedure wherein the location of each image pixel is shuffled by utilizing MACM. The shuffling of image pixel leads to the creation of a subset pixel which will be protected for transmitting. This proposed HVMSF mainly tries to overcome the limitation of the previous approaches by applying sigmoid function in image feature space for contrast enhancement throughout the consequent source images. The experimental outcomes precisely show that the suggested strategy can further give additional effectiveness to ensure the protection of transmitting information out over previous techniques.

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Section: Visual Cryptography and Methods Challengesmentioning

confidence: 99%

A Hybrid Visual Cryptography Method using Sigmoid Function for Security Enhancement in Gray Scale Images

Kumar¹,

Patidar²,

Saxena³

et al. 2021

IJAINN

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“…This indicates the superiority of our proposed forgery detection approach in comparison with other recent research works in the literature. Table 6, below, shows the qualitative comparison of our proposed approach with state-of-the-art approaches: (1) Liu et al [43], (2) Amiri et al [44], (3) Kukreja et al [45], (4) Kumar and Hensman [46], and (5) Kumar et al [47]. The results of this table indicate that the proposed approach has more cons (or positive characteristics) than the other compared approaches.…”

Section: Third Group Of Experiments (Comparative Analysis)mentioning

confidence: 97%

“…In this group of experiments, the proposed approach was compared with state-ofthe-art approaches. More recent related works in the literature are used in our comparison, as shown in Figure 8: (1) Liu et al [43], (2) Amiri et al [44], and (3) Kukreja et al [45]. The NC and TAF metrics are used to evaluate the performance of the compared approaches.…”

Section: Third Group Of Experiments (Comparative Analysis)mentioning

confidence: 99%

A Visual Cryptography-Based Watermarking Approach for the Detection and Localization of Image Forgery

2022

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The usage of images in different fields has increased dramatically, especially in medical image analysis and social media. Many risks can threaten the integrity and confidentiality of digital images transmitted through the internet. As such, the preservation of the contents of these images is of the utmost importance for sensitive healthcare systems. In this paper, the researchers propose a block-based approach to protect the integrity of digital images by detecting and localizing forgeries. It employs a visual cryptography-based watermarking approach to provide the capabilities of forgery detection and localization. In this watermarking scheme, features and key and secret shares are generated. The feature share is constructed by extracting features from equal-sized blocks of the image by using a Walsh transform, a local binary pattern and a discrete wavelet transform. Then, the key share is generated randomly from each image block, and the secret share is constructed by applying the XOR operation between the watermark, feature share and key share. The CASIA V 1.0 and SIPI datasets were used to check the performance and robustness of the proposed method. The experimental results from these datasets revealed that the percentages of the precision, recall and F1 score classification indicators were approximately 97% for these indicators, while the percentages of the TAF and NC image quality indicators were approximately 97% and 96% after applying several known image processing and geometric attacks. Furthermore, the comparative experimental results with the state-of-art approaches proved the robustness and noticeable improvement in the proposed approach for the detection and localization of image forgeries in terms of classification and quality measures.

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“…As previously mentioned, the main advantage for this technique is increased security as compared to traditional VC through the construction of meaningful shares [49,67,91,105]. EVC is useful for applications such as copyright protection because the same watermark can be embedded in each meaningful share and recovered when combined with a master share [52]. It also has higher contrast levels than traditional VC.…”

Section: Type Of Sharesmentioning

confidence: 99%

“…Schemes that achieve a good quality of recovered image suffer from high computational or memory complexity [88,90,95] whereas schemes that are computationally efficient have recovered images that have poor contrast or resolution [12,77]. Apart from decryption quality, schemes that support meaningful shares also generally have complexity issues [24,52,101].…”

Section: Comparison Of Visual Cryptography Schemesmentioning

confidence: 99%

An overview of visual cryptography techniques

Ibrahim

Teh

Abdullah

2021

Multimed Tools Appl

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Visual cryptography is an encryption technique that decomposes secret images into multiple shares. These shares are digitally or physically overlapped to recover the original image, negating the need for complex mathematical operations or additional hardware. There have been many variations of visual cryptography proposed over the years, each addressing different problems or to fulfill different security requirements. Existing review papers on the area only cover certain types of visual cryptography or lack comparisons between the various schemes. To address this gap, this paper provides broad overview of the area to aid new researchers in identifying research problems or to select suitable visual cryptography methods for their desired applications. For more veteran researchers in the area, our paper provides the most up-to-date coverage of the state-of-the-art. We first provide an introduction to the various categories of visual cryptography techniques, including a discussion on recently proposed schemes. These schemes are then compared in terms of their features, performance metrics, advantages and disadvantages. Compared to prior work, we extend the number of comparison metrics to include signal-to-noise ratio and the type of shares. Over 40 visual cryptography schemes that have been proposed in the past two decades were analyzed and compared. Our findings indicate that existing problems such as pixel expansion, poor quality of recovered image quality, computational and memory complexities still exist, and a optimizing the trade-off between these requirements still requires further investigation. We conclude the paper with a discussion of these open problems and future research directions.

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Extended visual cryptography-based copyright protection scheme for multiple images and owners using LBP–SURF descriptors

Cited by 10 publications

References 32 publications

A Hybrid Visual Cryptography Method using Sigmoid Function for Security Enhancement in Gray Scale Images

A Hybrid Visual Cryptography Method using Sigmoid Function for Security Enhancement in Gray Scale Images

A Visual Cryptography-Based Watermarking Approach for the Detection and Localization of Image Forgery

An overview of visual cryptography techniques

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