Analysis of Physical Features Affecting Glossiness and Roughness Alteration in Image Reproduction and Image Features...

Area of Science:

• Visual Perception
• Digital Image Processing
• Material Science

Background:

• Digital imaging can alter the perceived appearance of real objects.
• Colorimetrically reproduced images (CRIs) may not accurately represent original glossiness and roughness.
• Understanding these perceptual differences is crucial for accurate image reproduction.

Purpose of the Study:

• To confirm alterations in glossiness and roughness in reproduced images.
• To analyze physical features influencing these alterations.
• To develop methods for recovering perceived glossiness and roughness in digital images.

Main Methods:

• Comparison of real objects with CRIs and modulated images.
• Psychophysical experiments to assess perceptual differences.
• Analysis of physical surface roughness and image features (e.g., skewness, kurtosis, contrast, Gray Level Co-occurrence Matrix).

Main Results:

• Low skewness and high kurtosis of surface roughness correlate with glossiness and roughness alterations, respectively.
• Contrast modulation can recover perceived glossiness.
• Angular second moment in the GLCM can recover perceived roughness.
• Perceptually equivalent images were reproduced.

Conclusions:

• Perceived glossiness and roughness differ between real objects and their CRIs.
• Measuring physical features of real objects and applying specific image modulations can facilitate the reproduction of perceptually equivalent glossiness and roughness.
• This research aids in creating more accurate digital representations of material appearance.