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

Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
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...
Gradient Vectors and Their Applications01:19

Gradient Vectors and Their Applications

Every point on a topographical map corresponds to a particular elevation, so the landscape can be modeled as a surface whose height depends on horizontal position. From any given location, a hiker may face infinitely many directions, but only one direction produces the fastest possible increase in elevation. This unique route is called the direction of steepest ascent, and in multivariable calculus, it is represented by the gradient vector of the elevation function.The gradient vector points...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Significance of the Gradient Vector01:27

Significance of the Gradient Vector

A surface defined by a function of two variables can be understood by examining how it changes along specific directions. When one variable is held constant, the surface reduces to a curve that reflects variation in the other variable. For example, fixing one variable and moving parallel to a coordinate axis produces a cross-sectional curve. The slope of this curve at a given point represents how the function changes in that particular direction, providing a measure of local steepness.By...
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...

You might also read

Related Articles

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

Sort by
Same author

Oxidation-Shielded <i>P</i>(<i>St-MMA</i>)<i>@Fe</i><sub>3</sub><i>O</i><sub>4</sub><i>@P</i>(<i>St-MMA</i>) Mesoporous Magnetic Microspheres: A Robust Solid-Phase Carrier for Ultrasensitive CEA Chemiluminescence Immunoassay.

Biosensors·2026
Same author

Clinical efficacy of portable, cost-effective manual thermal pulsation for obstructive meibomian gland dysfunction and factors associated with therapeutic efficacy.

BMJ open ophthalmology·2026
Same author

Betulinic Acid Enema Alleviates Colitis by Targeting Vitamin D Receptor to Protect the Intestinal Mucosal Barrier and Modulate Mucosa-Associated Microbiota.

Phytotherapy research : PTR·2026
Same author

Structural characterization and the protective effects of green walnut husk polysaccharides by modulating inflammation and gut microbiota for inflammatory bowel disease.

International journal of biological macromolecules·2026
Same author

Identification of the Novel HLA-A*32:181 Allele Using Polymerase Chain Reaction Sequence-Based Typing.

HLA·2026
Same author

A single-cell blueprint for cellular diversity in the Green Lineage.

Current biology : CB·2026
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
06:41

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

Published on: March 9, 2015

Efficient compression of encrypted grayscale images.

Wei Liu, Wenjun Zeng, Lina Dong

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 24, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for lossless compression of encrypted images. The novel resolution progressive scheme improves compression efficiency by progressively decoding image resolutions, enhancing performance for real-world encrypted sources.

    Related Experiment Videos

    Last Updated: Jun 17, 2026

    A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
    06:41

    A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

    Published on: March 9, 2015

    Area of Science:

    • Information Theory
    • Image Processing
    • Cryptography

    Background:

    • Lossless compression of encrypted data is challenging.
    • Existing Slepian-Wolf coding methods struggle with real-world encrypted sources like grayscale images due to limitations in exploiting source dependency.
    • Markov property-based approaches in Slepian-Wolf decoders are ineffective for grayscale images.

    Discussion:

    • A novel resolution progressive compression scheme is proposed for encrypted images.
    • The method allows the decoder to progressively reconstruct the image by observing and analyzing lower resolutions first.
    • Local statistics derived from lower resolutions are utilized to decode subsequent, higher resolution levels.

    Key Insights:

    • The proposed scheme effectively exploits local image statistics for improved compression efficiency.
    • It overcomes limitations of previous methods that failed to adequately address grayscale image characteristics.
    • Both theoretical analysis and experimental results demonstrate the scheme's good performance.

    Outlook:

    • This approach offers a promising direction for efficient lossless compression of encrypted real-world data.
    • Further research could explore its application to other types of encrypted multimedia content.
    • Optimizing the statistical modeling and progressive decoding process could lead to even greater compression gains.