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Related Concept Videos

Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
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The Beer-Lambert law describes the relationship between absorbance and concentration, which combines the principles established by scientists Johann Heinrich Lambert and August Beer. Lambert's law states that when light passes through a medium, the loss in intensity is directly proportional to the original intensity and the path length of the light. Beer's law proposed that the transmittance of a solution remains constant if the product of concentration and path length is constant. The modern...
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Emission Spectra02:39

Emission Spectra

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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Paramer mismatch-based spectral gamut mapping.

Philipp Urban1, Roy S Berns

  • 1Institute of Printing Science and Technology, Technische Universität Darmstadt, 64289 Darmstadt, Germany. urban@idd.tu-darmstadt.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 22, 2010
PubMed
Summary
This summary is machine-generated.

Achieving consistent visual matches across different lighting conditions is challenging due to printer limitations. This study introduces a spectral gamut mapping framework to improve color reproduction accuracy under multiple illuminants.

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Area of Science:

  • Color Science
  • Image Reproduction
  • Computer Vision

Background:

  • Spectral agreement is crucial for illuminant-invariant visual matches between original scenes and printed reproductions.
  • Typical printing systems have a limited spectral gamut, making it difficult to reproduce all natural reflectances accurately.
  • Out-of-gamut reflectances require mapping into the printer's gamut while minimizing perceived error across multiple illuminants.

Purpose of the Study:

  • To propose an algorithmic framework for spectral gamut mapping.
  • To achieve color reproductions that are visually correct for one illuminant and superior for others.
  • To investigate the impact of illuminant order on spectral gamut mapping outcomes.

Main Methods:

  • A hierarchical mapping sequence in 3-D color spaces is employed.
  • Observer's color quantization is utilized to enhance spectral variability in transformations.
  • Traditional colorimetric gamut mapping is performed for the primary illuminant.
  • Pixel-dependent parameter mismatch gamuts are used for additional illuminants, preserving visual equivalence.

Main Results:

  • The proposed framework achieves visually correct reproductions for a primary illuminant and improved results for others.
  • A separation method was developed to analyze the spectral gamut mapping framework.
  • Hue shifts and chroma gains are unavoidable for subsequent illuminants.
  • The order of illuminants significantly impacts the final reproduction quality.

Conclusions:

  • The developed spectral gamut mapping framework offers a method to improve color reproduction accuracy under varying illuminants.
  • While effective, the method acknowledges inherent limitations such as potential hue shifts and chroma gains.
  • The significant impact of illuminant order necessitates careful consideration in practical applications.