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Fast Bilateral Filtering for the Display of High-Dynamic-Range Images

Fast Bilateral Filtering for the Display of High-Dynamic-Range Images. Fr é do Durand & Julie Dorsey Laboratory for Computer Science Massachusetts Institute of Technology. Tone mapping. How can we display it? Linear scaling?, thresholding?. 10 -6. 10 6. dynamic range. Real world

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Fast Bilateral Filtering for the Display of High-Dynamic-Range Images

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  1. Fast Bilateral Filteringfor the Display ofHigh-Dynamic-Range Images Frédo Durand & Julie Dorsey Laboratory for Computer Science Massachusetts Institute of Technology

  2. Tone mapping • How can we display it? Linear scaling?, thresholding? 10-6 106 dynamic range Real world radiance 10-6 106 Display intensity Pixel value 0 to 255 CRT has 300:1 dynamic range

  3. High Dynamic Range Images high low

  4. Eye is not a photometer! • "Every light is a shade, compared to the higher lights, till you come to the sun; and every shade is a light, compared to the deeper shades, till you come to the night." — John Ruskin, 1879

  5. A typical photo • Sun is overexposed • Foreground is underexposed

  6. Edge-preserving filtering • Blur, but not across edges • Anisotropic diffusion [Perona & Malik 90] • Blurring as heat flow • LCIS [Tumblin & Turk] • Bilateral filtering [Tomasi & Manduci, 98] Input Gaussian blur Edge-preserving

  7. Comparison with our approach • We use only 2 scales • Can be seen as illumination and reflectance • Different edge-preserving filter from LCIS Large-scale Detail Output Compressed

  8. Our approach • Do not blur across edges • Non-linear filtering Large-scale Output Detail Color

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