Review on optical image hiding and watermarking techniques

Jiao, Shuming; Zhou, Changyuan; Ma, Rui; Zou, Wenbin; Li, Xia

doi:10.1016/j.optlastec.2018.08.011

Cited by 137 publications

(32 citation statements)

References 80 publications

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“…The extraction process involves non-blind watermark extraction and then blind watermark extraction techniques. [2](Shuming Jiao, et.al, 2019) have proposed a paper that provides a comprehensive review of the research works concerned to the optical image hiding and watermarking techniques. The previous research works mainly focused on two major aspects they are systems concerning to image hiding, and the methods concerned to embedding the optical system output within host image.…”

Section: Fig1generic Block Diagram Of Image Watermarkingmentioning

confidence: 99%

Digital Image Watermarking at Different Levels of DWT using RGB Channels

Savakar*,

Pujar

2020

IJRTE

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This paper presents a digital image watermarking scheme comprising of DWT transformation. Due to the common practice of creating the copy, transmitting and spreading the data duplication of the original data occurs. Digital image watermarking has the ability to provide a solution for the unauthorized duplication problem. The scheme designed and presented in this paper comprises of mainly two modules one for embedding the watermark within the cover image and another for retrieving the watermark from the watermarked image. The process is carried out at different levels of the DWT transformation within different sub-bands of the DWT transformation. The extraction process involves the extraction of the watermark image form different channels of the RGB image mainly red, green and blue. The robustness and imperceptibility are tested. In each of the case, the corresponding PSNR and correlation values are noted and the results obtained concludes the scheme as the robust, semi-fragile and fragile digital image watermarking at different levels of the DWT transformation

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Section: Fig1generic Block Diagram Of Image Watermarkingmentioning

confidence: 99%

Digital Image Watermarking at Different Levels of DWT using RGB Channels

Savakar*,

Pujar

2020

IJRTE

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“…The authors claimed that this approach was invariant to common attacks on 3D models (mesh simplification, addition of noise, model cropping, as well as their combinations) . The great majority of encryption protocols are based on optical encryption methods, such as digital holography, diffractive imaging, integral imaging, multiple cameras, and detector photogrammetry (Muniraj et al, 2014;Mehra et al, 2015;Jiao et al, 2019). In spite of optical encryption methods have some advantages, such as parallel processing and data handling in various domains, these algorithms are difficult in efficient software implementation.…”

Section: Related Workmentioning

confidence: 99%

Digital Watermarking of 3d Medical Visual Objects

Favorskaya¹,

Savchina²

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> At present, medical equipment provides often 3D models of scanning organs instead of ordinary 2D images. This concept is supported by Digital Imaging and COmmunications in Medicine (DICOM) standard available for telemedicine. This means that the confidential information under transmission ought to be protected by special techniques, particularly digital watermarking scheme instead of textual informative files represented, for example, on CD disks. We propose a multilevel protection, for which a fragile watermark is the first level of protection. The Region Of Interest (ROI) watermark and textual watermarks with information about patient and study (the last ones can be combines as a single textual watermark) form the second level of protection. Encryption of the ROI and textual watermarks using Arnold’s transform is the third level of protection. In the case of 3D models, we find the ROI in each of 2D sliced images, apply the digital wavelet transform or digital shearlet transform (depending on the volume of watermarks) for the ROI and textual watermarks embedding, and embed a fragile watermark using digital Hadamard transform. The main task is to find the relevant regions for embedding. To this and, we develop the original algorithm for selecting relevant regions. The obtained results confirm the robustness of our approach for rotation, scaling, translation, and JPEG attacks.</p>

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“…For different security applications, both the visual keys and the secret image can be protected as invisible to unauthorized users. VC can be categorized as an optical encryption technique [13][14][15] and the decryption of a secret image is realized optically. In comparison, both the encryption and decryption steps in conventional digital encryption schemes are implemented with computer algorithms.…”

Section: Introductionmentioning

confidence: 99%

Visual cryptography in single-pixel imaging

Jiao¹,

Feng²,

Gao³

et al. 2020

Opt. Express

Self Cite

117

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Two novel visual cryptography (VC) schemes are proposed by combining VC with single-pixel imaging (SPI) for the first time. It is pointed out that the overlapping of visual key images in VC is similar to the superposition of pixel intensities by a single-pixel detector in SPI. In the first scheme, QR-code VC is designed by using opaque sheets instead of transparent sheets. The secret image can be recovered when identical illumination patterns are projected onto multiple visual key images and a single detector is used to record the total light intensities. In the second scheme, the secret image is shared by multiple illumination pattern sequences and it can be recovered when the visual key patterns are projected onto identical items. The application of VC can be extended to more diversified scenarios by our proposed schemes.

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Review on optical image hiding and watermarking techniques

Cited by 137 publications

References 80 publications

Digital Image Watermarking at Different Levels of DWT using RGB Channels

Digital Image Watermarking at Different Levels of DWT using RGB Channels

Digital Watermarking of 3d Medical Visual Objects

Visual cryptography in single-pixel imaging

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