A generalized white-patch model for fast color cast detection in natural images

Abstract : We present a generalized white-patch technique able to rapidly detect color cast of natural images. Instead of relying on the chromatic information of a single perfectly reflective patch in the image, as pure white-patch models do, we consider a connected region of pixels that will serve as white reference for the method. The pixels belonging to the white reference region must comply with three properties: 1) they do not have to be completely saturated; 2) they must belong to the p% of pixels with brightest intensity in the whole image (where p is a parameter of the model); 3) the area of the connected region formed by these pix-els must overcome a threshold of significance A (a second parameter). Color cast is detected if the average intensity in the three separated chromatic channels RGB is distant enough from a neutral grey level, where the distance is measured through an angular metric.
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Jose Lisani, Ana Belen Petro, Edoardo Provenzi, Catalina Sbert. A generalized white-patch model for fast color cast detection in natural images. IS&T International Symposium on Electronic Imaging - Retinex at 50: Image Processing, Feb 2016, San Francisco, CA, United States. ⟨hal-01386173⟩

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