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

Fischer Projections

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...

Residuals and Least-Squares Property

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...

Confocal Fluorescence Microscopy

Confocal Fluorescence Microscopy

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,...

Super-resolution Fluorescence Microscopy

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...

You might also read

Related Articles

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

Sort by

Same author

Towards practical single-shot phase retrieval with physics-driven deep neural network.

Optics express·2023

Same author

SiSPRNet: end-to-end learning for single-shot phase retrieval.

Optics express·2022

Same author

Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing.

IEEE transactions on medical imaging·2022

Same author

Invertible Image Decolorization.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021

Same author

Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2020

Same author

Robust Reflection Removal Based on Light Field Imaging.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2018

Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

Same journal

GoP-based Quality Enhancement on Video Compression.

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

Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

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

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 25, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Robust Fringe Projection Profilometry via Sparse Representation.

Budianto, Daniel P K Lun

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 19, 2016

Summary

This summary is machine-generated.

This study introduces a new fringe projection profilometry (FPP) algorithm using sparse dictionary learning. The method enhances 3D reconstruction robustness for complex scenes by embedding and decoding period order information, improving accuracy.

More Related Videos

Easy and Accurate Mechano-profiling on Micropost Arrays

Easy and Accurate Mechano-profiling on Micropost Arrays

Published on: November 17, 2015

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Related Experiment Videos

Last Updated: Mar 25, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Easy and Accurate Mechano-profiling on Micropost Arrays

Easy and Accurate Mechano-profiling on Micropost Arrays

Published on: November 17, 2015

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Area of Science:

Computer Vision
3D Reconstruction
Optical Metrology

Background:

Traditional fringe projection profilometry (FPP) struggles with complex scenes, leading to phase unwrapping errors and distorted 3D models.
Challenges include multiple/occluded objects and ambient lighting variations, hindering accurate 3D reconstruction.

Purpose of the Study:

To propose a robust FPP algorithm overcoming limitations of traditional methods.
To enhance 3D model accuracy in complex scenes and varying lighting conditions.

Main Methods:

Developed a novel FPP algorithm integrating sparse dictionary learning and sparse coding.
Encoded essential period order information into texture patterns embedded within fringe patterns.
Utilized modified morphological component analysis and sparse classification for decoding embedded information.

Main Results:

The proposed algorithm significantly improves the robustness of FPP systems.
Accurate 3D reconstruction achieved for both simple and complex scenes.
Performance remained consistent despite ambient lighting variations.

Conclusions:

The novel FPP algorithm effectively addresses phase unwrapping challenges in complex environments.
This method offers a more reliable solution for 3D reconstruction using fringe projection profilometry.