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Texture Management for Glossy Objects Using Tone Mapping.

Ikumi Hirose1, Kazuki Nagasawa1, Norimichi Tsumura2

  • 1Division of Creative Engineering, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan.

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Summary
This summary is machine-generated.

This study introduces a tone mapping method to accurately match object glossiness across different displays. The technique effectively corrects luminance differences, improving visual consistency and object appearance.

Keywords:
color matchingglossyhigh dynamic rangetone mapping

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Area of Science:

  • Computer Vision
  • Image Processing
  • Display Technology

Background:

  • Displays exhibit unique luminance and gamma characteristics, causing variations in perceived object color and glossiness.
  • Conventional color matching methods are insufficient for correcting glossiness, a key factor influencing object appearance.
  • High-luminance areas, or glossy parts, present a challenge for accurate reproduction across displays.

Purpose of the Study:

  • To develop and evaluate a method for matching object color and glossiness between disparate displays.
  • To address the limitations of traditional color correction by incorporating tone mapping for glossiness.
  • To investigate the impact of tone mapping parameters on the perceived appearance of glossy objects.

Main Methods:

  • Utilized high dynamic range (HDR) images to capture extensive luminance information.
  • Applied tone mapping techniques, adjusting function parameters and application thresholds.
  • Conducted subjective evaluations using the series category method to assess glossiness correction effectiveness.

Main Results:

  • Tone mapping successfully corrected high-luminance (glossy) areas that color matching alone could not address.
  • Varying tone-mapping parameters influenced the final appearance of glossy objects.
  • Optimal tone-mapping functions were identified for specific displays to minimize glossiness discrepancies.

Conclusions:

  • The proposed tone mapping method effectively corrects glossiness differences between displays.
  • Selecting display-specific optimal tone-mapping functions is crucial for accurate glossiness reproduction.
  • This approach enhances the consistency of object appearance across various display technologies.