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

Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
Optimization Problems01:26

Optimization Problems

Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
Upsampling01:22

Upsampling

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...
Compacting Factor test01:22

Compacting Factor test

The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.

You might also read

Related Articles

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

Sort by
Same author

Surgical outcomes of Bethesda System for Reporting Thyroid Cytopathology diagnostic category class I, II, and III thyroid nodules.

Frontiers in endocrinology·2026
Same author

Validation of a novel multi-sensor wearable for measuring heart rate, steps, and energy expenditure in laboratory and simulated free-living protocols.

Physiological measurement·2026
Same author

Reprogramming the immune suppressive tumor microenvironment in glioma enhances the efficacy of immune-mediated gene therapy.

Molecular therapy. Oncology·2026
Same author

M-CSF priming enhances the efficiency and reproducibility of hiPSC-derived osteoclast differentiation and pharmacological responsiveness to anti-resorptive agents.

Scientific reports·2026
Same author

Efficacy and safety of N-acetylcysteine in patients with mild cognitive impairment undergoing exercise-based cardiac rehabilitation program: a randomized controlled trial.

Alzheimer's research & therapy·2026
Same author

PRehab tO PreparE Living Liver Donors for Enhanced Recovery (PROPELLER): A Feasibility Randomized Controlled Trial.

Clinical transplantation·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

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

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Colorization-based compression using optimization.

Sukho Lee1, Sang-Wook Park, Paul Oh

  • 1Department of Software Engineering, Dongseo University, Busan 617-716, Korea. petrasuk@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 27, 2013
PubMed
Summary
This summary is machine-generated.

This study optimizes colorization-based coding using L1 minimization for selecting representative pixels (RP). The new method achieves high compression rates and image quality, outperforming JPEG and matching JPEG2000.

Related Experiment Videos

Last Updated: May 12, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Area of Science:

  • Digital image processing
  • Information theory
  • Computer vision

Background:

  • Colorization-based coding reconstructs full color images from sparse representative pixels (RP).
  • Efficiently selecting these RPs is crucial for compression rate and reconstructed image quality.
  • Existing methods face challenges in optimal RP selection.

Purpose of the Study:

  • To formulate colorization-based coding as an L1 minimization problem for optimal RP selection.
  • To develop a multiscale colorization matrix construction method.
  • To enhance compression efficiency and reconstructed image fidelity.

Main Methods:

  • Formulation of colorization-based coding as an L1 minimization problem.
  • Development of a novel RP extraction method.
  • Construction of a multiscale colorization matrix.

Main Results:

  • The L1 minimization guarantees the smallest possible set of RPs for a given error.
  • The proposed method achieves superior compression rates compared to JPEG.
  • Experimental results show performance comparable to JPEG2000 in compression and quality.

Conclusions:

  • The L1 minimization framework provides an optimal solution for RP selection in colorization-based coding.
  • The multiscale colorization matrix enhances the efficiency of RP extraction.
  • The proposed approach offers a significant advancement in image compression technology.