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Pulse amplitude and quality01:17

Pulse amplitude and quality

Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
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Quality Control

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Downsampling01:20

Downsampling

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Updated: Jul 1, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

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

Published on: December 3, 2013

GoP-Based Quality Enhancement on Video Compression.

Sangjin Lee, Chajin Shin, Hong-Goo Kang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces GoP-based Quality Enhancement (GQE) to improve compressed video quality by addressing Group of Pictures (GoP) level artifacts. The new method significantly reduces visual discomfort caused by codec variations, enhancing overall viewing experience.

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    Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition

    Published on: January 5, 2024

    Area of Science:

    • Computer Vision
    • Video Processing
    • Digital Signal Processing

    Background:

    • Increasing demand for high-resolution video strains bandwidth limitations.
    • Existing video enhancement methods often overlook Group of Pictures (GoP) level artifacts, causing viewer discomfort.
    • Codec artifact patterns vary significantly at the GoP level, impacting video quality.

    Purpose of the Study:

    • To propose GoP-based Quality Enhancement (GQE) for improving compressed video quality.
    • To address and mitigate GoP-level artifact variations overlooked by previous research.
    • To enhance viewer comfort by reducing visual artifacts in compressed videos.

    Main Methods:

    • Introduced a GoP Guided Feature Propagation (GGFP) module to propagate I-frame features across GoPs.
    • Developed a Temporal Aggregation (TA) module for efficient feature aggregation from I-frames and current frames.
    • Evaluated the GQE model on diverse video sequences and codecs (HEVC, VP9, AV1).

    Main Results:

    • Significantly reduced pattern shifts in GoP-level artifacts.
    • Demonstrated substantial improvements in overall compressed video quality.
    • Effectively addressed issues related to codec artifact variations at the GoP level.

    Conclusions:

    • GoP-based Quality Enhancement (GQE) effectively improves compressed video quality.
    • The proposed GGFP and TA modules successfully mitigate GoP-level artifacts.
    • This approach offers a promising solution for enhancing video quality in bandwidth-constrained environments.