On the Implementation of Robust Copyright Protection Scheme Using Visual Attention Model

Basu, Amitabha; Sarkar, SubirKumar

doi:10.1080/19393555.2013.779400

Cited by 16 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another feature affecting human sensitivity toward visual signal is visual attention, which can enhance or reduce the actual visual sensitivity. The information hiding model using visual attention is presented in (Basu & Sarkar, 2013). Another saliency-based digital watermarking approach given in (Basu et al, 2015) where the authors have used Itti-Koch saliency model and adaptive LSB replacement to embed the watermark into the less perceptible area of an image to improve the imperceptibility.…”

Section: Related Workmentioning

confidence: 99%

“…Digital watermarking is an attractive area for researchers regarding copyright protection for last few decades (Basu et al, 2011;Basu & Sarkar, 2013;Macq & Pitas, 1998;Mohanty, 1999). It is the process in which information is hided inside an object, using a way that the information can be extracted out later to make a claim by the owner about the object (Cox, Miller, Bloom, Fridrich, & Kalker, 2007).…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

On the Implementation of a Secured Digital Watermarking Framework

Nayak

Tudu

Basu³

et al. 2015

Information Security Journal: A Global Perspective

Self Cite

View full text Add to dashboard Cite

In this paper, a saliency-based digital watermarking system which employs a higher degree security by means of Symmetric Key Cryptography is proposed. The projected algorithm can implant more information into less perceptive areas within the original image determined by saliency map. The scheme helps to detect the regions that have better data hiding capacity within an image. The locations with less perceptibility specifies the most insignificant location from the view of visibility within an image, so any alteration within these locations will be less apparent to any spectator. Moreover, the watermark is encrypted with Symmetric Key Cryptography to make it secure from the attackers. Here the algorithm is tested by means of imperceptibility and robustness.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

On the Implementation of a Secured Digital Watermarking Framework

Nayak

Tudu

Basu³

et al. 2015

Information Security Journal: A Global Perspective

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [145][146][147], LSB watermarking schemes are proposed based on the Itti-Koch model [148] for finding pixel-wise saliency maps. A secret message is then embedded into the least salient pixels of the cover image.…”

Section: Spatial Domainmentioning

confidence: 99%

LSB Data Hiding in Digital Media: A Survey

Tran¹,

Zepernick²,

Chu³

2022

EAI Endorsed Transactions on Industrial Networks and Intelligen

View full text Add to dashboard Cite

Data hiding or information hiding is a prominent class of information security that aims at reliably conveying secret data embedded in a cover object over a covert channel. Digital media such as audio, image, video, and three-dimensional (3D) media can act as cover objects to carry such secret data. Digital media security has acquired tremendous significance in recent years and will be even more important with the development and delivery of new digital media over digital communication networks. In particular, least significant bit (LSB) data hiding is easy to implement and to combine with other hiding techniques, offers high embedding capacity for data, can resist steganalysis and several types of attacks, and is well suited for real-time applications. This article provides a comprehensive survey on LSB data hiding in digital media. The fundamental concepts and terminologies used in data hiding are reviewed along with a general data hiding model. The five attributes of data hiding, i.e., capacity, imperceptibility, robustness, detectability, and security, and the related performance metrics used in this survey to compare the characteristics of the different LSB data hiding methods are discussed. Given the classification of data hiding methods with respect to audio, image, video, and 3D media, a comprehensive survey of LSB data hiding for each of these four digital media is provided. In particular, landmark studies, state-of-the-art approaches, and applications of LSB data hiding are described for each of the four digital media. Their performance is compared with respect to the data hiding attributes which illustrates benefits and drawbacks of the reviewed LSB data hiding methods. The article concludes with summarizing main findings and suggesting directions for future research. This survey will be helpful for researchers and practitioners to keep abreast about the potential of LSB data hiding in digital media and to develop novel applications based on suitable performance trade-offs between data hiding attributes.

show abstract