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

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

SPIRAL: A probabilistic deep learning framework for Chinese liquor (Baijiu) classification via near-infrared hyperspectral imaging.

Food chemistry·2026
Same author

Recovering Speech from Vibrations: Principles and Algorithms in Radar and Laser Sensing.

Sensors (Basel, Switzerland)·2026
Same author

Superior extraconal orbital fat hyperintensityin pediatric population: a potential diagnostic pitfall.

Pediatric radiology·2026
Same author

Inflammatory ankle MRI findings in pediatric and young adult patients with familial Mediterranean fever: a comparison with juvenile idiopathic arthritis and chronic nonbacterial osteomyelitis.

Skeletal radiology·2026
Same author

A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality.

Sensors (Basel, Switzerland)·2025
Same author

Added Diagnostic Value of Intravascular Ultrasound over Venography in "High Risk for Dialysis Circuit Vascular Access Failure" ESRD Patients.

Annals of vascular surgery·2025
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 Video

Updated: May 12, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Image processing using smooth ordering of its patches.

Idan Ram1, Michael Elad, Israel Cohen

  • 1Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel. idanram@tx.technion.ac.il

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 18, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image processing technique that reorders image patches using a shortest path algorithm. This method effectively restores corrupted images through simple 1D smoothing, showing promise for image denoising and inpainting.

Related Experiment Videos

Last Updated: May 12, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Mathematics

Background:

  • Image corruption (e.g., noise, missing pixels) poses significant challenges in digital image processing.
  • Existing methods for image restoration often involve complex algorithms and computational overhead.

Purpose of the Study:

  • To develop a novel image processing scheme for effective image restoration.
  • To leverage patch reordering and a shortest path approach for image recovery.

Main Methods:

  • Extracting overlapping patches from a corrupted image.
  • Representing patches as coordinates in high-dimensional space.
  • Ordering patches via a shortest path algorithm (Traveling Salesman Problem).
  • Applying 1D smoothing operations to reordered pixels for signal restoration.

Main Results:

  • The proposed patch reordering method enables effective image recovery.
  • Promising results were demonstrated for both image denoising and inpainting tasks.
  • The approach simplifies restoration by reducing it to 1D smoothing operations.

Conclusions:

  • Patch reordering based on shortest path offers a new paradigm for image restoration.
  • The technique provides a computationally efficient and effective solution for corrupted images.
  • This method shows significant potential for advancing image denoising and inpainting applications.