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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.1K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.1K
Fast Fourier Transform01:10

Fast Fourier Transform

1.3K
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
1.3K
Computed Tomography01:10

Computed Tomography

7.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
7.6K
Downsampling01:20

Downsampling

873
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...
873
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

16.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
16.0K
Convergence of Fourier Series01:21

Convergence of Fourier Series

645
The Fourier series is a powerful mathematical tool for representing periodic signals as an infinite sum of complex exponentials. In practice, this infinite series is truncated to a finite number of terms, yielding a partial sum. This truncation makes the approximation of the signal feasible but introduces certain challenges, particularly near discontinuities, known as the Gibbs phenomenon.
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
645

You might also read

Related Articles

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

Sort by
Same author

STDNet: Rethinking Disentanglement Learning With Information Theory.

IEEE transactions on neural networks and learning systems·2023
Same author

A learnable sampling method for scalable graph neural networks.

Neural networks : the official journal of the International Neural Network Society·2023
Same author

Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography.

BMC bioinformatics·2020
Same author

Optimization of Ethanol Detection by Automatic Headspace Method for Cellulose Insulation Aging of Oil-immersed Transformers.

Polymers·2020
Same author

[Response and Control Factors of Groundwater to Extreme Weather, Jiguan Cave, Henan Province, China].

Huan jing ke xue= Huanjing kexue·2015
Same author

IMonitor: A Robust Pipeline for TCR and BCR Repertoire Analysis.

Genetics·2015
Same journal

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation.

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

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·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
See all related articles

Related Experiment Video

Updated: May 6, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.6K

Fingerprint Compression Based on Sparse Representation.

Guangqi Shao, Yanping Wu, Yong A

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |November 8, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel fingerprint compression algorithm using sparse representation. The new method offers efficient and robust compression, outperforming existing techniques, especially at high compression ratios.

    More Related Videos

    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

    42.6K
    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
    05:07

    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

    Published on: September 6, 2024

    955

    Related Experiment Videos

    Last Updated: May 6, 2026

    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    17.6K
    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

    42.6K
    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
    05:07

    Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods

    Published on: September 6, 2024

    955

    Area of Science:

    • Biometrics
    • Image Processing
    • Computer Science

    Background:

    • Fingerprint compression is crucial for efficient storage and transmission of biometric data.
    • Existing methods like JPEG, JPEG 2000, and WSQ have limitations, particularly at high compression ratios.
    • Sparse representation offers a promising approach for advanced image compression techniques.

    Purpose of the Study:

    • To introduce and evaluate a new fingerprint compression algorithm based on sparse representation.
    • To analyze the impact of various factors on the compression performance.
    • To compare the proposed algorithm against established compression standards.

    Main Methods:

    • Constructing an overcomplete dictionary from fingerprint image patches.
    • Representing fingerprint patches using sparse linear combinations of dictionary atoms via l(0)-minimization.
    • Quantizing and encoding the sparse representation for compression.
    • Testing the algorithm on three distinct groups of fingerprint images.

    Main Results:

    • The proposed sparse representation algorithm demonstrates high efficiency compared to JPEG, JPEG 2000, and WSQ.
    • Superior performance is observed particularly at high compression ratios.
    • The algorithm exhibits robustness in minutiae extraction, a critical feature for fingerprint recognition.

    Conclusions:

    • The novel sparse representation-based algorithm is an effective method for fingerprint image compression.
    • It offers significant advantages over traditional compression techniques, especially for demanding applications.
    • The algorithm's robustness in minutiae extraction ensures its viability for biometric systems.