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Correcting Over-Exposure in Photographs

Correcting Over-Exposure in Photographs. Dong Guo , Yuan Cheng, Shaojie Zhuo, Terence Sim. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010 . Pixels receiving “too much” irradiance record almost white colors Color information is distorted (desaturated)

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Correcting Over-Exposure in Photographs

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  1. Correcting Over-Exposure in Photographs Dong Guo, Yuan Cheng, Shaojie Zhuo, Terence Sim. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010

  2. Pixels receiving “too much” irradiance record almost white colors Color information is distorted (desaturated) Information is lost Correcting Over-Exposure in Photographs Problems with overexposed areas

  3. Correcting Over-Exposure in Photographs • Works with one single image • Does not require user interaction Main Contribution

  4. Create a map of overexposed pixels Compress the dynamic-range in well-exposed areas Recover the lightness Correct the color Correcting Over-Exposure in Photographs General Workflow

  5. Create a map of overexposed pixels Correcting Over-Exposure in Photographs General Workflow

  6. 2. Compress the dynamic-range in well-exposed areas Correcting Over-Exposure in Photographs General Workflow • Analogue to Fattal’s method (2002) • One among many other Tone Mapping methods

  7. 3. Recover the lightness Correcting Over-Exposure in Photographs General Workflow • E1: Compress the dynamic range (Fattal’s method) • E2: Retain luminance in overexposed areas • Constraint: keep very low light areas unchanged.

  8. 4. Correct the color Correcting Over-Exposure in Photographs General Workflow • \Psi: Color confidence = 1 - M • First term: extract color from neighbors in overexposed areas (=> propagation from good pixels) • Second term: keep the same color in well exposed areas

  9. Correcting Over-Exposure in Photographs Results

  10. Correcting Over-Exposure in Photographs Interesting references:

  11. ANAT LEVIN’s work: http://www.wisdom.weizmann.ac.il/~levina/ A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Trans. Pattern Analysis and Machine Intelligence, Feb 2008 Correcting Over-Exposure in Photographs Interesting references: Powerful technique already used for: Alpha Matting, White Balance, Ghost Removal, Tone Mapping, Haze Removal Not directly cited in the paper

  12. Correcting Over-Exposure in Photographs High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics) Interesting references: Not directly cited in the paper

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