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Related Concept Videos

Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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Boundary Conditions: Lossless Lines01:21

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Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
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Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
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Downsampling01:20

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Lensless Fluorescent Microscopy on a Chip
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Shearlet Transform based Light Field Compression Under Low Bitrates.

Waqas Ahmad, Suren Vagharshakyan, Marten Sjostrom

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 4, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new compression method for light field (LF) data from multiple cameras. The novel approach enhances compression efficiency and image quality, especially at low bit rates, by incorporating residual information.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Data Compression

    Background:

    • Light field (LF) acquisition devices capture both spatial and angular scene information, enabling advanced postprocessing like 3D reconstruction and refocusing.
    • Traditional cameras lack this angular data, limiting postprocessing capabilities.
    • Efficient compression of LF data is crucial for storage and transmission.

    Purpose of the Study:

    • To propose a novel compression scheme for light field data acquired using multiple traditional cameras.
    • To improve compression efficiency and visual quality, particularly at low bit rates.

    Main Methods:

    • Divided LF views into key views and decimated views.
    • Compressed key views using multi-view extension of high-efficiency video coding (MV-HEVC).
    • Predicted decimated views using shearlet-transform-based prediction (STBP) and encoded residual information.

    Main Results:

    • Incorporating residual information increased the overall peak signal to noise ratio (PSNR) by 2 dB.
    • The proposed scheme significantly outperformed anchor schemes at low bit rates.
    • Demonstrated superior compression efficiency in low bit-rate scenarios due to human visual system sensitivity.

    Conclusions:

    • The novel compression scheme effectively enhances LF data compression by utilizing residual information.
    • The method offers superior performance at low bit rates compared to existing schemes.
    • This approach is advantageous for applications sensitive to compression artifacts.