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

Upsampling01:22

Upsampling

745
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
745
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.3K
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...
12.3K
Deconvolution01:20

Deconvolution

764
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...
764
Downsampling01:20

Downsampling

872
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...
872
Aliasing01:18

Aliasing

945
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...
945

You might also read

Related Articles

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

Sort by
Same author

Comparative analysis of meat quality of Laiwu black, Minxinan black and Hyla rabbits.

Archives animal breeding·2026
Same author

Environment-sensitive fluorescent probes targeting mutant IDH1 for in vivo glioma imaging.

Analytica chimica acta·2026
Same author

A ferroptosis-based intelligent nanoplatform with chemo-sonodynamic therapy carrying oxygen for improving tumor suppression and antitumor immunity.

Journal of nanobiotechnology·2026
Same author

Simulating the Real World: A Unified Survey of Multimodal Generative Models.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Integration of ATAC-seq and RNA-seq unveils transcription factors involved in low-nitrogen tolerance in cucumber.

Frontiers in plant science·2026
Same author

Plasma proteomic signatures linking preserved ratio impaired spirometry to cardiometabolic diseases and multimorbidity: A longitudinal cohort study.

Pulmonology·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: May 4, 2026

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

773

On Bayesian adaptive video super resolution.

Ce Liu1, Deqing Sun2

  • 1Microsoft Research New England, Cambridge.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|December 21, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive Bayesian approach for video super resolution, improving image quality by simultaneously estimating motion, blur, and noise. The method outperforms existing techniques and adapts to varying real-world video conditions.

Related Experiment Videos

Last Updated: May 4, 2026

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

773

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • Multiframe super resolution is challenging for real-world videos due to simplified motion models and assumptions about blur kernel and noise.
  • Existing methods often fail to capture sequence-specific characteristics, limiting their adaptability.

Purpose of the Study:

  • To develop an adaptive Bayesian approach for video super resolution that simultaneously estimates motion, blur kernel, and noise level.
  • To reconstruct high-resolution frames from low-resolution video sequences while accounting for unknown intrinsic characteristics.

Main Methods:

  • A Bayesian framework is employed to jointly estimate motion, blur kernel, and noise level.
  • Cramer-Rao bounds are utilized for a two-step analysis of noise and blur effects on motion and super resolution.

Main Results:

  • The proposed system achieves state-of-the-art super resolution results, outperforming existing methods.
  • The approach demonstrates adaptability to diverse noise levels and blur kernels.
  • Analysis confirms that an intermediate blur kernel size optimizes image reconstruction.

Conclusions:

  • The adaptive Bayesian method offers a robust solution for real-world video super resolution.
  • Simultaneous estimation of motion, blur, and noise is crucial for accurate reconstruction.
  • Understanding the influence of blur and noise is key to improving video super resolution performance.