Abstract
The hue information in color images is not easily susceptible to inference from specular reflection. Grounded on this fact, an effective algorithm of specular reflection separation with hue constraint is proposed. Images are clustered by its hue information. The fusion coefficient of diffuse reflection and specular reflection is obtained by calculating the pixel chromaticity and the illumination chromaticity. The bilateral filter is conducted on fusion coefficients to eliminate the noise impact. A diffuse reflection image is acquired according to the calculated specular reflection coefficients. The experimental results show that the proposed method removes specular reflection effectively with the details and edge information of the image retained and it achieves satisfactory visual effects in processing natural highlight pictures without ground truth.
| Translated title of the contribution | Specular Reflection Separation with Hue Constraint |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 742-750 |
| Number of pages | 9 |
| Journal | Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence |
| Volume | 34 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2021 |
| Externally published | Yes |
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