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Ludwig Meier e. Bergisch Gladbach, Germany. New Hardcover Quantity Available: 2. Revaluation Books Exeter, United Kingdom. Seller Image. Key Words:Speech recognition in noise, Hagerman sentences 27 dec Asst. Exploiting contact interactions for robust manipulation. International Journal of Network Security. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

Citation information: DOI Guide for authors - Signal Processing: Image Communication. Italian - Serbian Cooperation on. Science, Technology and Humanities. Edited by P. Andjus and P. November 16, , University of Belgrade. Corrupted face image authentication based on noise model.

  • Robust Image Authentication in the Presence of Noise by Natasa Zivic | | Booktopia!
  • The Man with the Golden Arm;
  • Evolution of nervous systems.
  • Digital watermarking.
  • Shin and C. Zivic Ed. Foreground harmonic noise reduction for robust audio fingerprinting Abstract: Audio fingerprinting systems are often well designed to cope with a range of broadband noise types however they cope less well when presented with additive noise containing sinusoidal components. Richard Baraniuk: Randomized Dimensionality Reduction:. The use of noise has been a powerful tool in learning about nonlinear stages of visual processing. We have extended the approach of Petrov, Dosher Lu , to enable us to gather more accurate data and extend their analysis in a manner that enables us to isolate stages of processing.

    Unfortunately, often this personal data can be easily accessed. Support authentication of images in the presence of noise, i. Standard authentication mechanisms are extremely fragile to the existence of errors and therefore they very often fail in communications in noisy environments. Therefore, robustness is an important property which new algorithms have to support. An improved optical identity authentication system.

    This powerful tool enables us to create a adapting and robust method for detection and estimation of noise in records. Our method is fully automatic and it is easily modifiable for any type of noise. For more details, please see Prof.

    robust image watermarking: Topics by

    Vulnerability of robust preferential attachment networks Maren Eckho Peter M orters Abstract Scale-free networks with small power law exponent are known to be robust, meaning that their qualitative topological structure cannot be altered by random removal of even a large proportion of nodes. Natasa Zivic, Trust in corrected messages protected by message authentication codes, Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, p.

    Error Control Coding, Second Edition. Robustness : The watermark should be designed in such a way that, it is unaffected by all attacks. Reversibility : Watermarking is one of the best solutions for authentication and tamper detection. But after embedding process, watermark can damage the important information present in the original cover media. So, it is difficult to get an exact cover media at the receiver end. But recently, there are various applications areas such as military, medical, etc, where recovery of original cover media is essential.

    اقتباسات مكررة

    In such applications, instead of conventional watermarking, reversible watermarking scheme is employed. Payload : Payload is the number of watermark bits embedded into the cover work. Security : Security of a scheme is measured by evaluating the strength of the scheme against existing attacks. From the existing work, it has been found that there are some security loopholes in the watermarking technique used in practical applications. Tamper detection : Tampering is an intentional modification of documents in a way that would make them harmful for end users.

    So it is essential to reveal the watermark as well as cover image during extraction process. Authentication : Authentication assures that the interacting entity is the one which is claims to be. But, till date, no such development has been found to accomplish three major research issues, namely, tamper detection, authentication, and recovery in a single model. Also, most of these research efforts were concentrated on gray scale images and some of these schemes are susceptible to noise and attacks. The improvement in the visual aspect of the redeemed color image has not been investigated and many of these watermarking schemes concentrated on efficiency of tamper detection.

    Robust Image Authentication in the Presence of Noise

    So development of a watermarking scheme which might detect tampering, verify authenticity also completely recover data is an important research issue. A few researchers have considered error recovery through the local binary pattern LBP in a watermarking scheme. In embedding phase, the tamper detection bits are generated by employing LBP operator in colored cover image. Both the information watermark and authentication code AC are embedded within the either image of dual color images. In the detection phase, authentication bits are extracted with the help of shared secret key and authenticity are verified.

    The contributions of the paper are as follows: Authentication and tamper detection : Authentication and tamper detection can be achieve in our proposed scheme. Imperceptibility : The proposed scheme gives a good visual quality which is essential for any watermarking scheme. Robustness : We achieve the robustness with respect to eight different geometric attacks like blurring, cropping, salt and pepper noising, opaque, rotation, median filtering, flipping, and copy move forgery.

    Reversibility : The reversibility can be achieved by using dual image. In this paper, our aim is to formulate a reversible watermarking algorithm using LBP based on dual image for practical applications. The proposed scheme is secure, robust, and also provides good visual characteristics of watermarked image. Rest of the paper is organized as follows: The proposed watermarking scheme is discussed in Section 2. Experimental results and comparison with existing related works are given in Section 3. Finally, conclusions are drawn in Section 4. Now the watermark W is considered and a watermark bits stream W i is generated.

    The above process is applied to all the pixel blocks of the dual images to get dual watermarked images. In this section, the details extraction procedure has been discussed. Here, first dual watermarked images WD 1 and WD 2 are considered as input image then it is separated into R, G, and B color components. Furthermore, construct generated authentication code GAC by concatenating the.

    Thus, the whole process is repeated for the remaining blocks using the reverse process of watermark embedding.

    Safeguarding Digital Library Contents and Users

    Performance of the contemplated method is assessed to test its effectiveness. Performance of our scheme is assessed on the basis of time complexity and it is compared with other existing schemes. The fundamental necessities of any watermarking scheme are robustness and imperceptibility. Usually, the quality of watermarked images is evaluated from their subjective and objective quality indices. The BER results prove that our developed scheme is robust.

    It is clear that after extraction, the objective quality of the extracted watermark is slightly changed whereas the tamper location of the recovered cover image has been identified successfully. Also the results of statistical analysis SD and CC show the robustness of our scheme.

    It is observed that our technique requires 0. During embedding only 0. The lesser execution time in our scheme is achieved due to simple algebraic manipulations and the threading concept of Java. Time complexity for doing the operations described in Algorithm 1 is. On the other hand, at the time of extraction, the complexity is , considering Algorithm 2.