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Related Concept Videos

Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Optimal nonnegative color scanning filters.

G Sharma, H J Trussell, M J Vrhel

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 13, 2008
    PubMed
    Summary
    This summary is machine-generated.

    This study designs optimal color scanning filters for multi-illuminant recording. The new filters minimize color errors from noisy data, outperforming previous designs.

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    Published on: August 22, 2019

    Area of Science:

    • Color science
    • Optical engineering
    • Image processing

    Background:

    • Designing color scanning filters for multi-illuminant environments presents challenges in accurate color reproduction.
    • Existing methods may not adequately address color errors arising from noisy recorded data.

    Discussion:

    • This work introduces a novel approach to determine filter transmittances using a minimum-mean-squared orthogonal tristimulus error criterion.
    • The method incorporates nonnegativity constraints for physical realizability of the designed filters.
    • Performance is evaluated by comparing the proposed filters against suboptimal filters from prior literature.

    Key Insights:

    • The developed filter design significantly minimizes color error in multi-illuminant color recording, even with noisy data.
    • Imposed nonnegativity constraints ensure practical, physically realizable filter solutions.
    • The optimized filters demonstrate substantial improvements over previously reported suboptimal designs.

    Outlook:

    • This research provides a robust framework for advanced color filter design in digital imaging systems.
    • Future work could explore adaptive filter design for dynamic lighting conditions.
    • Potential applications include high-fidelity color capture in diverse industrial and scientific imaging.