研究目的
To automatically transfer the style, in terms of tone, color palette, and contrast, from a reference image to a source RAW image for cinema shoots, reducing the manual workload in color grading.
研究成果
The method successfully transfers style in real-time with low computational complexity, producing photorealistic results free of artifacts for similar images, and has potential for implementation in-camera to save time in film production.
研究不足
The method may produce artifacts or unnatural results when source and reference images are very different in content and composition; it relies on statistical properties and does not handle semantic differences well.
1：Experimental Design and Method Selection:
The method involves three separable operations: global luminance matching using a tone-mapping algorithm, global color transfer using PCA for decorrelation and statistical matching, and local contrast matching based on standard deviation scaling.
2：Sample Selection and Data Sources:
Source RAW images and reference images (e.g., from movies, photographs) are used, selected to share similarities in content and composition.
3：List of Experimental Equipment and Materials:
No specific equipment or materials are mentioned; the method is computational and applied to image data.
4：Experimental Procedures and Operational Workflow:
Demosaiced and white-balanced RAW images are processed through luminance transfer (Eq. 1-3), color transfer (Eq. 4-5), and local contrast transfer (Eq. 6-8).
5：8). Data Analysis Methods:
5. Data Analysis Methods: Statistical analysis (histograms, PCA, mean, standard deviation) is used for matching; results are evaluated visually for artifacts and realism.
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