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

Difference from Background: Limit of Detection

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...

You might also read

Related Articles

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

Sort by

Same author

Spatially confined multi-enzyme cascade nanoreactor for portable and real-time pesticide detection.

Journal of nanobiotechnology·2026

Same author

A magnetically driven dual-loading device for planar flyer and cylindrical liner: Design and performance validation.

The Review of scientific instruments·2026

Same author

NIR-Programmable Stealth 2D Black Phosphorus Nanobiointerfaces for Deep Tumor Penetration and Photoimmunotherapy.

ACS nano·2026

Same author

Implementing standardized, evidence-based nursing management to prevent aspiration risk in hospitalized older adults.

BMC nursing·2026

Same author

White matter <sup>18</sup>F-florbetapir retention predicts cognitive decline and treatment response in Alzheimer's disease.

Alzheimer's research & therapy·2026

Same author

Information Entropy-Based Framework for Quantifying Curve Tortuosity in Meibomian Glands Uneven Atrophy.

Translational vision science & technology·2026

Search research articles

Related Experiment Video

Updated: Oct 4, 2025

Quantifying Intermembrane Distances with Serial Image Dilations

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

Large-capacity reversible image watermarking based on improved DE.

Shaozhang Xiao¹, Xingyuan Zuo¹, Zhengwei Zhang¹

¹Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu 223003, China.

Mathematical Biosciences and Engineering : MBE

|February 9, 2022

Summary

This study introduces a new reversible image watermarking method using improved difference expansion (DE) to boost embedding capacity and imperceptibility. The algorithm achieves high embedding rates while ensuring lossless image recovery and good visual quality.

Keywords:

Arnold transform difference expansion (DE)overflow processing reversible image watermarking

More Related Videos

Author Spotlight: Universal Molecular Retention with 11-Fold Expansion Microscopy

Author Spotlight: Universal Molecular Retention with 11-Fold Expansion Microscopy

Published on: October 6, 2023

Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

Published on: February 10, 2023

Related Experiment Videos

Last Updated: Oct 4, 2025

Quantifying Intermembrane Distances with Serial Image Dilations

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

Author Spotlight: Universal Molecular Retention with 11-Fold Expansion Microscopy

Author Spotlight: Universal Molecular Retention with 11-Fold Expansion Microscopy

Published on: October 6, 2023

Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

Super-Resolution Imaging of Bacterial Secreted Proteins Using Genetic Code Expansion

Published on: February 10, 2023

Area of Science:

Computer Science
Information Security
Digital Image Processing

Background:

Existing reversible image watermarking algorithms suffer from poor imperceptibility and low embedding rates.
There is a need for advanced techniques to enhance both data hiding capacity and visual quality.

Purpose of the Study:

To propose a novel, large-capacity reversible image watermarking algorithm.
To improve imperceptibility and embedding rates compared to existing methods.
To ensure lossless image recovery and maintain visual quality.

Main Methods:

Utilizes an improved difference expansion (DE) technique.
Employs a smoothness calculation algorithm to divide and sort image sub-blocks.
Applies generalized difference expansion (GDE) for watermark embedding in smoother regions.
Incorporates an absolute difference operation to manage overflow pixels.

Main Results:

Achieves high capacity reversible image watermarking.
Demonstrates effective blind extraction of embedded watermarks.
Recovers original images without any loss.
Attains a high average embedding rate of 77.91 dB.
Maintains good visual quality of watermarked images.

Conclusions:

The proposed algorithm effectively addresses the limitations of existing methods.
It offers a superior solution for secure and high-capacity reversible image watermarking.
The method balances embedding rate, imperceptibility, and image integrity.