Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Transformations of Functions III01:20

Transformations of Functions III

Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Convergence of Fourier Series01:21

Convergence of Fourier Series

The Fourier series is a powerful mathematical tool for representing periodic signals as an infinite sum of complex exponentials. In practice, this infinite series is truncated to a finite number of terms, yielding a partial sum. This truncation makes the approximation of the signal feasible but introduces certain challenges, particularly near discontinuities, known as the Gibbs phenomenon.
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Soil Nematode Abundances were Increased by an Incremental Nutrient Input in a Paddy-upland Rotation System.

Helminthologia·2019
Same author

Survival and detection of Bacillus cereus in the presence of Escherichia coli, Salmonella enteritidis, Staphylococcus aureus, Pseudomonas aeruginosa and Candida albicans after rechallenge in make-up removers.

International journal of cosmetic science·2017
Same author

Factors of detection of Bacillus cereus strains in eye cream.

International journal of cosmetic science·2016
Same author

Introduction.

Optics express·2009
Same author

Three-dimensional ISAR imaging of maneuvering targets using three receivers.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

RNAi therapy: dominant disease gene gets silenced.

Gene therapy·2005
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

Wavelet transform based watermark for digital images.

X G Xia, C Boncelet, G Arce

    Optics Express
    |April 23, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a new multiresolution image watermarking technique using the discrete wavelet transform (DWT). The method embeds pseudo-random codes for robust protection against common image distortions.

    Related Experiment Videos

    Last Updated: Jun 23, 2026

    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    Area of Science:

    • Digital Image Processing
    • Information Security

    Background:

    • Digital watermarking is crucial for protecting intellectual property and ensuring data integrity.
    • Existing methods face challenges with robustness against various image manipulations.

    Purpose of the Study:

    • To introduce a novel multiresolution watermarking method for digital images.
    • To enhance the robustness of digital watermarking against common image distortions.

    Main Methods:

    • The proposed method utilizes the discrete wavelet transform (DWT) for multiresolution analysis.
    • Pseudo-random codes are embedded into significant coefficients of the DWT at high and middle frequency bands.
    • The hierarchical nature of the method allows for different levels of watermark embedding and extraction.

    Main Results:

    • The DWT-based watermarking method demonstrates superior robustness compared to existing techniques.
    • The watermarking scheme effectively withstands common image distortions including compression, rescaling, stretching, and halftoning.
    • Experimental results validate the effectiveness and robustness of the proposed hierarchical approach.

    Conclusions:

    • The developed multiresolution watermarking technique offers a robust solution for digital image protection.
    • The method's resilience to various distortions makes it suitable for practical applications in digital media.
    • The hierarchical design provides flexibility and improved performance in image watermarking.