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Related Experiment Video

Updated: Apr 21, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

3.7K

Spatial entropy-based global and local image contrast enhancement.

Turgay Celik

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |October 28, 2014
    PubMed
    Summary
    This summary is machine-generated.

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    The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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    This study introduces a novel image contrast enhancement algorithm using spatial pixel information and spatial entropy. The method improves low-contrast images without distortion, outperforming existing techniques.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Digital Signal Processing

    Background:

    • Traditional contrast enhancement methods often rely on gray-level distribution or joint statistics.
    • These conventional approaches may lead to undesirable artifacts or fail to address specific contrast issues.
    • A need exists for advanced techniques that leverage spatial information for more effective image enhancement.

    Purpose of the Study:

    • To propose a novel algorithm for image contrast enhancement.
    • To utilize spatial information and spatial entropy of pixels for improved contrast.
    • To achieve visually pleasing results without introducing distortions, especially for low-contrast images.

    Main Methods:

    • A new method for computing spatial entropy based on the spatial distribution of pixel gray levels.

    Related Experiment Videos

    Last Updated: Apr 21, 2026

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
    07:15

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

    Published on: July 11, 2025

    3.7K
  • Utilizing histograms of spatial locations for each gray level.
  • Mapping computed spatial entropy distributions to uniform distributions for contrast enhancement.
  • Integrating transform domain coefficient weighting for combined local and global enhancement.

    • Main Results:

    • The proposed algorithm effectively enhances the contrast of low-contrast images.
    • High-contrast images remain unaltered, preserving their original quality.
    • The method produces visually pleasing results without distortions.
    • Combined with transform domain coefficient weighting, it offers controllable local and global contrast enhancement.
    • Experimental results demonstrate superior or comparable performance against state-of-the-art algorithms.

    Conclusions:

    • The novel spatial entropy-based algorithm provides effective contrast enhancement.
    • It offers a robust solution for improving low-contrast images while maintaining high-contrast image integrity.
    • The combined approach allows for flexible and simultaneous local and global contrast adjustment.