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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.6K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
14.6K
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

741
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
741
Rationalizing Substitutions01:29

Rationalizing Substitutions

62
Integrals involving non-rational functions are often difficult to evaluate using standard techniques, especially when radicals appear in the integrand. Rationalizing substitution provides a systematic method for simplifying such integrals by converting them into rational forms that are easier to handle.Consider a rod whose linear mass density depends on a constant linear density, a characteristic length, and the distance from the left end of the rod. Determining the total mass requires...
62
Rational Expressions01:28

Rational Expressions

412
Rational expressions are algebraic fractions in which both the numerator and the denominator are polynomials. These expressions follow the arithmetic rules of numerical fractions but require extra care due to the presence of variables. A fundamental part of working with rational expressions is identifying values that make the expression undefined, typically those that result in division by zero or undefined radicals.Determining the DomainThe domain of a rational expression includes all real...
412
Asymptotes in Rational Functions01:30

Asymptotes in Rational Functions

267
A rational function is defined as the quotient of two polynomials:  where Q(x)≠0, These functions often exhibit asymptotes, which are the lines that the graph approaches but never touches. These asymptotes are classified based on how the function behaves near specific values of the input.Vertical asymptotes occur where the denominator is zero, and the numerator is not, causing the function to be undefined. These are found by solving Q(x)=0. For example:  has a vertical...
267
Rational Emotive Behavior Therapy01:24

Rational Emotive Behavior Therapy

465
Cognitive-behavioral therapies (CBTs) are grounded in the belief that our thoughts profoundly influence our emotions and actions. Advocates of CBT emphasize three core assumptions: first, that cognitions are identifiable and measurable; second, that they are central to psychological functioning; and third, that irrational or maladaptive beliefs can be replaced with rational and adaptive ones. This transformative approach to therapy has paved the way for specific models such as Albert...
465

You might also read

Related Articles

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

Sort by
Same author

Developmental trajectories, heterogeneous subgroups, and predictors of subgroup membership of PTSD among healthcare workers: An 18-month longitudinal study.

Journal of psychiatric research·2026
Same author

Multiscale modeling guided potency assessment of mRNA-lipid nanoparticles.

Molecular therapy. Nucleic acids·2026
Same author

A hybrid membrane-miomimetic nanoplatform for synergistic photothermal/photodynamic therapy of hypoxic tumors.

Journal of materials chemistry. B·2026
Same author

Calmodulin inhibitors chlorpromazine and calmidazolium cause calcium overload and oxidative stress despite reducing peak density of Ca<sub>V</sub>1.2 current in ventricular myocytes.

Cell calcium·2026
Same author

A three-dimensional spatial transcriptome atlas reconstructs early organogenesis in primate Carnegie stages 9 and 10 embryos.

Nature cell biology·2026
Same author

Associations of intra-familial adverse childhood experiences, depressive symptoms and cardiometabolic multimorbidity among middle-aged and older adults: Evidence from developed and developing countries.

Asian journal of psychiatry·2026
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

Related Experiment Video

Updated: Feb 11, 2026

Super-resolution Imaging of the Bacterial Division Machinery
08:47

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

12.2K

Single-Image Super-Resolution Based on Rational Fractal Interpolation.

Yunfeng Zhang, Qinglan Fan, Fangxun Bao

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 27, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new fractal interpolation model for single-image super-resolution (SR), enhancing image detail and sharpness. The method effectively preserves texture and structure, outperforming existing SR techniques.

    More Related Videos

    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    10.1K
    Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
    08:43

    Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM

    Published on: June 24, 2017

    7.8K

    Related Experiment Videos

    Last Updated: Feb 11, 2026

    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    12.2K
    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    10.1K
    Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM
    08:43

    Highly Multiplexed, Super-resolution Imaging of T Cells Using madSTORM

    Published on: June 24, 2017

    7.8K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Fractal Geometry

    Background:

    • Single-image super-resolution (SR) aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs.
    • Existing SR methods often struggle with preserving intricate textural and structural details.
    • Fractal interpolation offers potential for complex data representation, but its application in SR is underexplored.

    Purpose of the Study:

    • To develop a novel single-image super-resolution (SR) method using a bivariate rational fractal interpolation model.
    • To enhance the preservation of textural and structural information during image upscaling.
    • To improve the accuracy and effectiveness of SR algorithms compared to current state-of-the-art approaches.

    Main Methods:

    • Construction and theoretical analysis of a new bivariate rational fractal interpolation model.
    • Development of an SR algorithm that divides images into texture and non-texture regions.
    • Accurate calculation of scaling factors in texture regions using local fractal analysis.

    Main Results:

    • The proposed fractal interpolation model demonstrates superior capability in describing image features.
    • The developed SR algorithm effectively preserves textural and structural information.
    • Experimental results show competitive performance with finer details and sharper edges compared to other SR methods.

    Conclusions:

    • The novel bivariate rational fractal interpolation model is effective for single-image super-resolution.
    • The proposed SR algorithm achieves high-quality image reconstruction with enhanced detail preservation.
    • This approach offers a promising direction for advancing single-image super-resolution techniques.