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An Exemplar-Based Method for Automatic Visual Editing and Retouching of Fine Art Reproduction

An Exemplar-Based Method for Automatic Visual Editing and Retouching of Fine Art Reproduction. Jun Jiang and Jinwei Gu 11/07/2013. What Is F ine A rt. Calligraphy (2D). Painting (2D). Sculpture (3D). Photography (2D). What Is F ine A rt R eproduction. Capture. Display. Artwork.

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An Exemplar-Based Method for Automatic Visual Editing and Retouching of Fine Art Reproduction

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  1. An Exemplar-Based Method for Automatic Visual Editing and Retouching of Fine Art Reproduction Jun Jiang and JinweiGu 11/07/2013

  2. What Is Fine Art Calligraphy (2D) Painting (2D) Sculpture (3D) Photography (2D)

  3. What Is Fine Art Reproduction Capture Display Artwork Print Smartphone Pad Goal: make the fine art reproduction an accuraterepresentation of the original

  4. Why Fine Art Reproduction Important • Due to safety and space limit, many collections are rarely exhibited • Too delicate to handle Munich Agreement Tangibook Leafsnap

  5. Widely Varying Image Quality • Milkmaid (http://www.artstor.org) [Frey and Farnand. 2011]

  6. Challenge Can we avoid or alleviate visual editing and retouching?

  7. Visual Editing and Retouching D65 D50

  8. Image Adjustment Functions Contrast • Global • Local Sharpness Color selected for adjustment Hue L* Chroma Threshold

  9. Exemplar-Based Method D65 D50 Database Exemplar-based model

  10. Workflow of Exemplar-based Model

  11. Distance Metric • Learn distance metric from adjusted images Image difference, RMSE, SSIM, Color difference, … Difference in the space of adjustment parameters

  12. Visual Editing (Global Adjustment) • With a new painting • Apply visual editing Distance in the space of adjustment parameters between the new image and the existing images in the database

  13. Retouching (Local Adjustment) • Dominant colors are extracted by K-means

  14. Data Acquisition • Reproductions of 15 paintings were captured in a diffuse lighting geometry using a Canon 60D • 25 Observers participated the experiment making visual editing

  15. Improvement Original Global Local Sharpness

  16. Paired-Comparison

  17. Conclusions • We proposed an exemplar-based method to automate visual editing and retouching • The proposed method is significantly better than the average of the visual editing by observers • Its performance can be improved as the database grows • Limitations

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