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

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...
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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 developed.
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...
Fischer Projections02:18

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...

You might also read

Related Articles

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

Sort by
Same author

Permeation of particle through a four-helix-bundle model channel.

The Journal of chemical physics·2005
Same author

Immunogenicity, safety, and protective efficacy of an inactivated SARS-associated coronavirus vaccine in rhesus monkeys.

Vaccine·2005
Same author

Phase III study of the Eastern Cooperative Oncology Group (ECOG 2597): induction chemotherapy followed by either standard thoracic radiotherapy or hyperfractionated accelerated radiotherapy for patients with unresectable stage IIIA and B non-small-cell lung cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2005
Same author

Towards automatic clustering of protein sequences.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005
Same author

Accelerating approximate subsequence search on large protein sequence databases.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005
Same author

Novel mutation (V505D) of the TGFBI gene found in a Chinese family with lattice corneal dystrophy, type I.

Japanese journal of ophthalmology·2005

Related Experiment Video

Updated: Jun 18, 2026

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

[Super-resolution image reconstruction algorithm based on projection onto convex sets and wavelet fusion].

Yuzhen Cao1, Xiaoting Liu, Wei Wang

  • 1College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin 300072, China. yzcao@tju.edu.cn

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|December 2, 2009
PubMed
Summary

A novel super-resolution algorithm enhances computed tomography (CT) image quality by fusing low-resolution images. This improved method, based on projection onto convex sets (POCS), yields more prominent details and superior image resolution.

More Related Videos

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

Related Experiment Videos

Last Updated: Jun 18, 2026

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

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

Area of Science:

  • Medical imaging
  • Image processing
  • Computational science

Context:

  • Computed tomography (CT) imaging generates valuable diagnostic data but is often limited by spatial resolution.
  • Enhancing the resolution of existing CT images is crucial for improved diagnostic accuracy and reduced radiation exposure.
  • Classical algorithms like projection onto convex sets (POCS) provide a foundation for image reconstruction but have limitations in detail fusion.

Purpose:

  • To introduce a new super-resolution image reconstruction algorithm for CT imaging.
  • To improve upon the classical projection onto convex sets (POCS) algorithm.
  • To leverage wavelet fusion in conjunction with POCS for enhanced high-resolution CT image restoration.

Summary:

  • A novel super-resolution algorithm was developed by enhancing the projection onto convex sets (POCS) method.
  • The algorithm integrates POCS with wavelet fusion techniques to reconstruct high-resolution CT images from low-resolution inputs.
  • Experimental results demonstrate the algorithm's effectiveness in fusing information, enhancing image details, and improving overall image quality.

Impact:

  • The proposed algorithm significantly improves the fusion of multi-resolution image information.
  • It leads to more prominent and discernible image details in the reconstructed CT scans.
  • The enhanced image quality facilitates better interpretation and potentially aids in earlier disease detection.