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...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Masking and Demasking Agents01:19

Masking and Demasking Agents

EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...

You might also read

Related Articles

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

Sort by
Same author

Solution-solid-solid mechanism: superionic conductors catalyze nanowire growth.

Nano letters·2013
Same author

Depending on the stage of hepatosteatosis, p53 causes apoptosis primarily through either DRAM-induced autophagy or BAX.

Liver international : official journal of the International Association for the Study of the Liver·2013
Same author

Low-voltage switching of crease patterns on hydrogel surfaces.

Advanced materials (Deerfield Beach, Fla.)·2013
Same author

Long non-coding RNAs and prostate cancer.

Journal of nanoscience and nanotechnology·2013
Same author

Self-assembled graphene quantum dots induced by cytochrome c: a novel biosensor for trypsin with remarkable fluorescence enhancement.

Nanoscale·2013
Same author

Relationship between glutathione S-transferase P1 (GSTP1), X-ray repair cross complementing group 1 (XRCC1) and 5,10-methylenetetrahydrofolate reductase (5,10-MTHFR) gene polymorphisms and response to chemotherapy in advanced gastric cancer.

Onkologie·2013
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
Same journal

GoP-based Quality Enhancement on Video Compression.

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

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

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

Related Experiment Videos

Toward Robust Alignment for Video Dehazing With Temporal Lookup Table.

Haoyou Deng, Zhiqiang Li, Feng Zhang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 8, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel temporal lookup table (LUT) network for video dehazing. The method enhances hazy frames for accurate video alignment, improving overall video restoration quality.

    Related Experiment Videos

    Area of Science:

    • Computer Vision
    • Image Processing

    Background:

    • Video dehazing is crucial for restoring clear scenes from hazy footage.
    • Accurate frame alignment is essential for utilizing temporal information in video dehazing.
    • Haze significantly degrades image quality, complicating frame alignment.

    Purpose of the Study:

    • To develop an effective frame alignment method for video dehazing.
    • To address the challenges posed by haze-induced degradation on alignment accuracy.
    • To improve the quality of restored videos by enhancing alignment.

    Main Methods:

    • Proposed an alignment network incorporating a temporal lookup table (temporal-LUT).
    • Employed a learnable lookup table (LUT) to enhance hazy colors and preserve naturalness.
    • Introduced a temporal weight prediction strategy to strengthen inter-frame interaction and ensure temporal consistency.

    Main Results:

    • The proposed temporal-LUT network effectively enhances haze-degraded frames.
    • Vivid cues are provided for precise frame alignment, overcoming haze impairments.
    • Demonstrated superior performance compared to existing methods on benchmarks and real-world scenes.

    Conclusions:

    • The novel temporal-LUT network significantly improves frame alignment in video dehazing.
    • The method effectively handles color degradation and enhances inter-frame consistency.
    • Offers a superior approach for video dehazing by tackling alignment challenges.