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The physical form of a substance changes by changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. For vaporization to occur, kinetic energy must be greater than the intermolecular forces that keep molecules bonded. The amount of energy needed to vaporize a quantity of liquid at a given pressure and a constant temperature is called the heat of vaporization. When...
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An Efficient Fusion-Based Defogging.

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    This study introduces a new fusion-based method for image dehazing. The approach improves visibility in foggy conditions by adaptively combining transmission models and reducing flickering effects for clearer images.

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    Area of Science:

    • Computer Vision
    • Image Processing

    Background:

    • Visibility degradation in images is common in adverse weather like fog and haze.
    • Conventional contrast enhancement methods often fail due to unspecified light sources and unsuitable cost functions.

    Purpose of the Study:

    • To develop an adaptive image dehazing method that improves visibility in poor weather conditions.
    • To address limitations of existing methods by enhancing transmission estimation and reducing flickering.

    Main Methods:

    • A fusion-based transmission estimation method combining two models.
    • A novel fusion weighting scheme and Gaussian-based dark channel method for atmospheric light computation.
    • A flicker-free module to mitigate frame-based dehazing artifacts.

    Main Results:

    • Improved estimation of light source locations.
    • Significant reduction in the flickering effect during video dehazing.
    • Superior quantitative and qualitative dehazing performance compared to state-of-the-art methods.

    Conclusions:

    • The proposed fusion-based method offers effective image defogging and dehazing.
    • The approach provides enhanced image quality and stability, outperforming existing techniques.