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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
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Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R stands for...
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Effects of EDTA on End-Point Detection Methods

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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

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Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

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Wald-Wolfowitz Runs Test I

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Related Experiment Videos

LDFT-based watermarking resilient to local desynchronization attacks.

Huawei Tian, Yao Zhao, Rongrong Ni

    IEEE Transactions on Cybernetics
    |June 13, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel blind image watermarking scheme resilient to local desynchronization attacks (DAs). It utilizes a new Local Daisy Feature Transform (LDFT) and Binary Space Partitioning (BSP) tree for robust watermark synchronization against diverse distortions.

    Related Experiment Videos

    Area of Science:

    • Computer Science
    • Digital Image Processing
    • Information Security

    Background:

    • Existing image watermarking schemes struggle with robust synchronization against local desynchronization attacks (DAs), particularly cropping.
    • Current methods often rely on globally invariant features, failing to address local geometric distortions effectively.

    Purpose of the Study:

    • To propose a blind image watermarking resynchronization scheme that is robust against local transform attacks.
    • To develop a novel feature transform that is invariant to both global and local geometric transformations.

    Main Methods:

    • Introduction of the Local Daisy Feature Transform (LDFT) for feature extraction, ensuring invariance under local and global transformations.
    • Utilizing a Binary Space Partitioning (BSP) tree to partition the LDFT space, fixing pixel locations against geometric distortions and cropping.
    • Embedding the watermark bit-by-bit into BSP tree leaf nodes using logarithmic quantization index modulation.

    Main Results:

    • The proposed watermarking scheme demonstrates robustness against a wide range of distortions, including common image processing attacks.
    • The scheme effectively survives local and global desynchronization attacks (DAs), including non-invertible cropping.
    • Simulation results validate the resilience and effectiveness of the LDFT and BSP tree approach for watermark synchronization.

    Conclusions:

    • The developed blind image watermarking scheme offers superior robustness against local transform attacks compared to existing methods.
    • The combination of LDFT and BSP tree provides a powerful framework for achieving reliable watermark synchronization in digital images.
    • This research addresses a significant challenge in image watermarking, paving the way for more secure digital content protection.