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Most of the features that you detect (that show up) in the discriminantdiscriminant.

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Refracted sunlight creates irradiance (light) fluctuations

Refracted SunlightRefracted Sunlight•

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Our Approach – 2 key observations

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Our Approach – 2 key observations

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Filter

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Removing sunlight flicker

Difference(Input (Input (Input -- Median)

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A. Shihavuddin, N. Gracias, R. Garcia. "Online Sunflicker Removal using Dynamic Texture Prediction". International Conference on Computer Vision Theory and Applications, pp. 161-167, Rome (Italy).

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Color Imaging", Journal of the Optical Society of America A. Vol. 30, no. 6, pp. 1039–1052, 2013.

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Most Most local patches in hazelocal patches in haze-local patches in haze-free outdoor images

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Instead of depthInstead of depth-Instead of depth-based fitting, first let’s have the estimation of ‘Veiling light’ based fitting, first let’s have the estimation of ‘Veiling light’ in

the blue channel by the blue channel by TarelTarel-Tarel-HautiHautière method.

Then Then seek darkest points in red and green, and seek darkest points in red and green, and fit the blue veiling light map ((#

Then Then seek darkest points in red and green, and seek darkest points in red and green, and #### optical depth map) to this points

seek darkest points in red and green, and seek darkest points in red and green, and fit the blue veiling light map fit the blue veiling light map seek darkest points in red and green, and optical depth map) to this points optical depth map) to this points with keeping its gradient structure

fit the blue veiling light map fit the blue veiling light map with keeping its gradient structurewith keeping its gradient structure. In this way we can with keeping its gradient structurewith keeping its gradient structure. In this way we can . In this way we can

expectedly strip the haze completely.

Instead of depthInstead of depth-Instead of depth-based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue channel by

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue channel by channel by Tarel

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue TarelTarel-

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue TarelTarel-Hauti

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue HautiHautière method.

Then Then seek darkest points in red and green, and seek darkest points in red and green, and fit the blue veiling light map fit the blue veiling light map ((#Then Then seek darkest points in red and green, and seek darkest points in red and green, and seek darkest points in red and green, and fit the blue veiling light map fit the blue veiling light map fit the blue veiling light map (####optical depth map) to this points with keeping its gradient structure. In this way we can optical depth map) to this points with keeping its gradient structure. In this way we can optical depth map) to this points with keeping its gradient structure. In this way we can

expectedly strip the haze completely.

Instead of depthInstead of depth-Instead of depth-based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue channel by

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue channel by channel by Tarel

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue TarelTarel-

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue TarelTarel-Hauti

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue based fitting, first let’s have the estimation of ‘Veiling light’ in the blue HautiHautière method

based fitting, first let’s have the estimation of ‘Veiling light’ in the blue ère methodère method.

Then Then seek darkest points in red and green, and fit the blue veiling light map seek darkest points in red and green, and fit the blue veiling light map ((## optical depth Then Then seek darkest points in red and green, and fit the blue veiling light map seek darkest points in red and green, and fit the blue veiling light map seek darkest points in red and green, and fit the blue veiling light map (#### optical depth optical depth map) to this points with keeping its gradient structure. In this way we can expectedly strip

optical depth optical depth map) to this points with keeping its gradient structure. In this way we can expectedly strip map) to this points with keeping its gradient structure. In this way we can expectedly strip the map) to this points with keeping its gradient structure. In this way we can expectedly strip

haze map) to this points with keeping its gradient structure. In this way we can expectedly strip map) to this points with keeping its gradient structure. In this way we can expectedly strip

haze haze completelymap) to this points with keeping its gradient structure. In this way we can expectedly strip map) to this points with keeping its gradient structure. In this way we can expectedly strip the the map) to this points with keeping its gradient structure. In this way we can expectedly strip

completelycompletely. BLUE CHANNEL CORRECTED SHAPE!

Single image dehazing

Original image

Corrected Corrected image

Original image

Single image Single image dehazingdehazing –– possible artifacts (color, halo, etc.)

AllAll darkdark channelchannel methodmethod has has somesome problemproblem (((artifactsartifacts, , speedspeed)

AArtifacts, based on widely used dark channel method,

aand #0E*4)71'!.F.0G'HG5'%020)./F'A104*'#0E*4)71'!.F.0G'HG5'%020)./F'A104*'

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