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

Convolution Properties II01:17

Convolution Properties II

582
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
582
Convolution Properties I01:20

Convolution Properties I

562
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
562
What is Natural Selection?01:32

What is Natural Selection?

126.0K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
126.0K
Nature and Nurture01:10

Nature and Nurture

22.2K
Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience,...
22.2K
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

865
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...
865
Chirality in Nature02:30

Chirality in Nature

16.9K
Chirality is the most intriguing yet essential facet of nature, governing life’s biochemical processes and precision. It can be observed from a snail shell pattern in a macroscopic world to an amino acid, the minutest building block of life. Most of the snails around the world have right-coiled shells because of the intrinsic chirality in their genes. All the amino acids present in the human body exist in an enantiomerically pure state, except for glycine - the sole achiral amino acid.
16.9K

You might also read

Related Articles

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

Sort by
Same author

Efficient self-supervised Barlow Twins from limited tissue slide cohorts for colonic pathology diagnostics.

Medical image analysis·2026
Same author

ADPv2: A hierarchical histological tissue type-annotated dataset for potential biomarker discovery of colorectal disease.

Journal of pathology informatics·2026
Same author

Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability.

Neural computation·2024
Same author

Computational pathology: A survey review and the way forward.

Journal of pathology informatics·2024
Same author

Wireless Body Area Nanonetworks via Vascular Molecular Communication.

IEEE transactions on nanobioscience·2024
Same author

Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans.

PloS one·2023

Related Experiment Video

Updated: Jan 21, 2026

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
05:45

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

Published on: March 31, 2022

3.1K

Convolutional Deblurring for Natural Imaging.

Mahdi S Hosseini, Konstantinos N Plataniotis

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 6, 2019
    PubMed
    Summary

    This study introduces a novel one-shot convolution filter for efficient image deblurring. The method rapidly restores clarity in naturally blurred images, improving digital archiving and visual quality.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Digital Imaging

    Background:

    • Optical blurring is a common issue in imaging, degrading image quality.
    • Existing deconvolution methods are computationally expensive and yield suboptimal results.
    • High-throughput imaging requires fast, accurate on-the-fly image restoration.

    Purpose of the Study:

    • To develop a novel, efficient image deblurring method.
    • To address the limitations of current deconvolution techniques in high-throughput applications.
    • To improve image perception quality and reduce processing time.

    Main Methods:

    • A one-shot convolution filtering approach is proposed.
    • A deconvolution kernel is synthesized using finite impulse response (FIR) even-derivative filters.

    More Related Videos

    Labeling and Imaging of Amyloid Plaques in Brain Tissue Using the Natural Polyphenol Curcumin
    10:15

    Labeling and Imaging of Amyloid Plaques in Brain Tissue Using the Natural Polyphenol Curcumin

    Published on: November 1, 2019

    13.3K
    Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
    11:13

    Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

    Published on: March 12, 2020

    11.6K

    Related Experiment Videos

    Last Updated: Jan 21, 2026

    Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
    05:45

    Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging

    Published on: March 31, 2022

    3.1K
    Labeling and Imaging of Amyloid Plaques in Brain Tissue Using the Natural Polyphenol Curcumin
    10:15

    Labeling and Imaging of Amyloid Plaques in Brain Tissue Using the Natural Polyphenol Curcumin

    Published on: November 1, 2019

    13.3K
    Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
    11:13

    Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

    Published on: March 12, 2020

    11.6K
  • A Gaussian low-pass filter is used for image denoising and edge deblurring.
  • A blind approach estimates point spread function (PSF) statistics for Gaussian and Laplacian models.

    • Main Results:

    • The method directly convolves with blurred images for restoration.
    • It effectively boosts the frequency fall-off of the point spread function (PSF).
    • Experiments validate efficiency across diverse imaging applications and compare against state-of-the-art methods.

    Conclusions:

    • The proposed one-shot convolution filtering offers an efficient solution for image deblurring.
    • This method enhances image quality and perception in digital archiving.
    • It mitigates computational costs and time delays in image processing pipelines.