Image hatching for visual cryptography

Weir, Jonathan; Wan, Yan; Kankanhalli, Mohan

doi:10.1145/2344436.2344438

Cited by 13 publications

(3 citation statements)

References 24 publications

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“…From extended schemes [2], whereby the shares contain meaningful information, to schemes which involve natural looking images which use both grayscale [3], colour [4] and even image hatching techniques [5]. Sharing multiple secrets within a set of shares has also be considered [6].…”

Section: Visual Cryptography Propertiesmentioning

confidence: 99%

Resolution variant visual cryptography for street view of Google Maps

Weir

Wan

2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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Resolution variant visual cryptography takes the idea of using a single share of visual cryptography (VC) to recover a secret from an image at multiple resolutions. That means, viewing the image on a one-to-one basis and superimposing the share will recover the secret. However, if the image is zoomed, using that same share we can recover other secrets at different levels. The same share is used at these varying resolutions in order to recover a large amount of hidden secrets. This process is quite similar to watermarking an image, whereby nothing can be seen while fully zoomed out, but as the zoom level is increased the watermark becomes visible. This would also be associated with a recursive style of secret sharing. This type of secret sharing scheme would be appropriate for recovering specific types of censored information, such as vehicle registration numbers within certain types of images. This adds an additional dimension to our scheme: content based visual cryptography.

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Section: Visual Cryptography Propertiesmentioning

confidence: 99%

Resolution variant visual cryptography for street view of Google Maps

Weir

Wan

2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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“…These methods may find applications in encrypting financial data, biometric verification, medical imaging etc. [10].…”

Section: Introductionmentioning

confidence: 99%

Subliminal Channels in Visual Cryptography

Koptyra

Ogiela²

2022

Cryptography

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This paper describes three methods of creating a subliminal channel in visual cryptography that are defined for a (2,2) sharing scheme. They work by hiding additional covert information besides the original encrypted image. The first channel is revealed when the user folds the share along the specific axis. The second channel encodes subpixels on the basis of the encrypted message bits. It is designed to hide a wide range of data types. The third channel may be applied to a single share or multiple shares and is revealed when the proper parts of the shares are stacked. Fold and overlapping algorithms are adequate for printed shares, but the encryption method is only suitable for digital shares. The capacity of these methods ranges from half of the image size to the whole image size. The presented algorithms work on black-and-white images but are expandable to color visual cryptography. They may find applications in steganography and other data-hiding techniques. The created subliminal channels do not interfere with regular images that may still be revealed by stacking the shares. In short, this article introduces subliminal channels in visual cryptography, presents three algorithms for both binary and colorful images, shows examples of use with the results obtained, and discusses features of each method.

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“…Improving the visual quality of recovered secret image was investigated in [11]- [13]. Other applications of VC can be found in [14] and [15]. But pixel expansion and poor image quality problems remain in the above-mentioned VC.…”

Section: Introductionmentioning

confidence: 99%

Extended Capabilities for XOR-Based Visual Cryptography

Sun

2014

IEEE Trans.Inform.Forensic Secur.

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The XOR-based visual cryptography (VC) is a possible methodology to solve the poor visual quality problem without darkening the background in VC. However, investigations on XOR-based VC are not sufficient. In this paper, we exploit some extended capabilities for XOR-based VC. Actually, two XOR-based VC algorithms are proposed, namely XOR-based VC for general access structure (GAS) and adaptive region incrementing XOR-based VC. The first algorithm aims to implement complicated sharing strategy using GAS, while maintaining merits such as perfect reconstruction of secret, no pixel expansion, and no code book requirement. In the second algorithm, the concept of adaptive security level is first introduced, where the security levels are recovered in accordance with the qualified sets instead of the quantity of stacked shares. Adaptive region incrementing XOR-based VC further enriches the application scenarios. Theoretical analysis on the proposed algorithms are provided, as well as extensive experimental results and evaluations for demonstrating the effectiveness and advantages of the two methods.Index Terms-Visual cryptography, visual secret sharing, XOR, general access structure, region incrementing, pixel expansion, adaptive security level.

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Image hatching for visual cryptography

Cited by 13 publications

References 24 publications

Resolution variant visual cryptography for street view of Google Maps

Resolution variant visual cryptography for street view of Google Maps

Subliminal Channels in Visual Cryptography

Extended Capabilities for XOR-Based Visual Cryptography

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