Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Downsampling

Downsampling

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...

Deconvolution

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...

You might also read

Related Articles

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

Sort by

Same author

Efficacy of stem cell therapy for achilles tendon rupture: a systematic review and meta-analysis based on animal studies.

Frontiers in bioengineering and biotechnology·2026

Same author

Light-switchable dual-functional enzyme-like activity of ultrasmall Pt nanoclusters.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026

Same author

Analysis of factors influencing anxiety in patients undergoing thoracoscopic surgery for lung tumors.

Frontiers in psychology·2026

Same author

Mechanistic insights into the crisping of Nata-de-Coco: soluble polymer-induced swelling of bacterial cellulose and its use in microgel fabrication.

Food chemistry·2026

Same author

Formyl peptide and its receptor system as a novel target for the prevention and treatment of neuroinflammation-related diseases.

Brain research bulletin·2026

Same author

Comprehensive analysis of the <i>MLP</i> genes in <i>Paulownia fortunei</i> and functional characterization of <i>PfMLP25</i> in response to pathogen invasion.

Forestry research·2026

Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026

Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026

Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026

Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026

Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026

Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 14, 2025

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Image denoising method integrating ridgelet transform and improved wavelet threshold.

Bingbing Li^1,2, Yao Cong¹, Hongwei Mo¹

¹College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.

|September 6, 2024

Summary

This summary is machine-generated.

This study introduces an improved image denoising method using wavelet transform and a continuous threshold function. The new technique effectively removes noise while preserving image details, outperforming traditional methods.

More Related Videos

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

Related Experiment Videos

Last Updated: Jun 14, 2025

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

Area of Science:

Image Processing
Signal Processing
Computer Vision

Background:

Traditional image denoising methods often cause detail loss.
Existing techniques struggle to balance noise removal with signal preservation.
Common noise types include Gaussian, salt and pepper, speckle, uniform, and pulse noise.

Purpose of the Study:

To propose an advanced image denoising method.
To address the limitations of traditional denoising techniques.
To enhance image quality by minimizing noise and preserving details.

Main Methods:

Combines finite ridge wave transform with wavelet transform for improved denoising.
Introduces an improved, continuous threshold function to prevent pseudo-Gibbs effects.
Evaluates performance using Lena images with varying densities of Gaussian noise.

Main Results:

Achieved a 2.58dB increase in peak signal-to-noise ratio for grayscale images with 0.01 variance Gaussian noise.
Reduced mean square error by 0.10dB.
Demonstrated faster denoising times (13ms) compared to Hard TA (22ms) and Soft TA (16ms).
Exhibited high stability with average similarity error within 0.89%.

Conclusions:

The proposed method effectively removes noise while preserving image details.
Offers superior performance in terms of signal-to-noise ratio and mean square error.
Presents a stable and efficient solution for digital image denoising applications.