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
Deconvolution01:20

Deconvolution

623
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...
623
Upsampling01:22

Upsampling

656
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...
656

You might also read

Related Articles

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

Sort by
Same author

Deep Dynamic Scene Deblurring for Unconstrained Dual-Lens Cameras.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

Deep end-to-end rolling shutter rectification.

Journal of the Optical Society of America. A, Optics, image science, and vision·2020
Same author

Local Proximity for Enhanced Visibility in Haze.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
Same author

Multilevel weighted enhancement for underwater image dehazing.

Journal of the Optical Society of America. A, Optics, image science, and vision·2019
Same author

Contemplation on marking scheme for Type X multiple choice questions, and an illustration of a practically applicable scheme.

Indian journal of pharmacology·2016
Same author

Change detection in underwater imagery.

Journal of the Optical Society of America. A, Optics, image science, and vision·2016
Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

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

Related Experiment Video

Updated: Feb 22, 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

313

Resolution enhancement in multi-image stereo.

Arnav V Bhavsar1, A N Rajagopalan

  • 1Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India. arnav_bhavsar@yahoo.co.in

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 28, 2010
PubMed
Summary
This summary is machine-generated.

This study integrates image superresolution (SR) and high-resolution (HR) depth estimation from low-resolution stereo images. The novel method enhances both image details and depth accuracy, overcoming traditional limitations.

More Related Videos

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.5K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.9K

Related Experiment Videos

Last Updated: Feb 22, 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

313
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.5K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.9K

Area of Science:

  • Computer Vision
  • Image Processing
  • 3D Reconstruction

Background:

  • Image superresolution (SR) and high-resolution (HR) depth estimation are challenging problems, especially in stereo vision.
  • Subpixel registration for SR is linked to 3D structure, while parallax and pixel averaging complicate motion estimation.
  • Low-resolution (LR) correspondence issues degrade LR depth estimates.

Purpose of the Study:

  • To propose an integrated approach for simultaneous HR depth estimation and SR image generation from multiple LR stereo observations.
  • To address the intertwined nature of SR and depth estimation in stereo imaging.

Main Methods:

  • Developed an integrated method to jointly estimate HR depth and SR images.
  • Utilized multiple LR stereo observations as input.
  • Overcame limitations of parallax and pixel averaging in LR data.

Main Results:

  • The proposed method successfully enhances image details, improving visual quality.
  • Demonstrated significant enhancement in HR depth estimation compared to LR counterparts.
  • Effectively addressed the compounding correspondence problem in LR stereo images.

Conclusions:

  • The integrated approach effectively solves the coupled problems of SR and HR depth estimation.
  • The method offers improved performance in both image detail recovery and depth accuracy.
  • This work advances stereo vision techniques by providing a unified solution.