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

299
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...
299

You might also read

Related Articles

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

Sort by
Same author

Plain language summary: comparing ivonescimab plus chemotherapy with tislelizumab plus chemotherapy in people with advanced squamous non-small cell lung cancer in the HARMONi-6 study.

Future oncology (London, England)·2026
Same author

Ivonescimab plus chemotherapy versus tislelizumab plus chemotherapy in advanced squamous non-small-cell lung cancer (HARMONi-6): interim overall survival analysis of a randomised, double-blind, phase 3 trial in China.

Lancet (London, England)·2026
Same author

SlBL4 is involved in leaf polarity development in tomato.

Frontiers in plant science·2026
Same author

The transcription factors RIN and NOR have both redundant and specific roles in the initiation and progression of fruit ripening.

The Plant cell·2026
Same author

ZNF460 inhibits HMGCL and promotes PI3K pathway in colon cancer.

Translational cancer research·2026
Same author

Phosphorylation and ubiquitination coordinate homeostasis of a tomato transporter responsible for fruit sugar accumulation.

Journal of genetics and genomics = Yi chuan xue bao·2026

Related Experiment Video

Updated: Oct 14, 2025

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

692

Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids.

Zhengguo Li, Haiyan Shu, Chaobing Zheng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |November 8, 2021
    PubMed
    Summary

    This study introduces a new dark direct attenuation prior (DDAP) and multi-scale approach for single image dehazing. The method effectively removes haze and noise, outperforming existing algorithms for clearer images.

    More Related Videos

    Analyzing Dendritic Morphology in Columns and Layers
    08:41

    Analyzing Dendritic Morphology in Columns and Layers

    Published on: March 23, 2017

    9.5K
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    279

    Related Experiment Videos

    Last Updated: Oct 14, 2025

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
    07:15

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

    Published on: July 11, 2025

    692
    Analyzing Dendritic Morphology in Columns and Layers
    08:41

    Analyzing Dendritic Morphology in Columns and Layers

    Published on: March 23, 2017

    9.5K
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    279

    Area of Science:

    • Computer Vision
    • Image Processing

    Background:

    • Single image dehazing is crucial for applications like autonomous driving and surveillance.
    • Existing model-based methods struggle with object radiance ambiguity and noise amplification in sky regions.

    Purpose of the Study:

    • To address inherent problems in model-based single image dehazing.
    • To improve haze removal and noise reduction for clearer image restoration.

    Main Methods:

    • A novel dark direct attenuation prior (DDAP) is proposed to resolve object radiance ambiguity.
    • Haze line averaging and a weighted guided image filter minimize artifacts from DDAP.
    • A multi-scale approach using Laplacian and Gaussian pyramids handles haze and noise at different image levels.

    Main Results:

    • The proposed algorithm effectively reduces morphological artifacts.
    • It successfully removes haze and noise, particularly in sky regions.
    • Experimental results show superior performance compared to state-of-the-art dehazing techniques.

    Conclusions:

    • The developed algorithm offers a robust solution for single image dehazing.
    • It significantly enhances image quality by tackling key challenges in haze removal.
    • The multi-scale strategy proves effective for comprehensive image restoration.