Abstract: Embodiments of the present invention are operable to generate a set of weights derived through crowdsourcing procedures for use in automatically performing white balancing operations on images captured by a digital camera system. Embodiments of the present invention are operable to generate a set of images which are illuminated with known and different illuminants. Using crowdsourcing procedures, embodiments of the present invention gather user feedback concerning which images from the set of images adjusted by the known illuminants are considered to be the most aesthetically pleasing. Images selected by the users are then stored within a database of selected images. Using a learning engine, embodiments of the present invention may then produce a set of weights based on the user selected images for use in determining a likely illuminant when performing automatic white balancing operations performed on the camera system.

Abstract: Embodiments of the present invention are operable to perform automatic white balancing operations on images captured by a camera system through the use of weights derived through crowdsourcing procedures. Embodiments of the present invention use crowdsourced weight data resident on the camera system in combination with sampled image data of a captured image to determine a likely illuminant source. When performing automatic white balancing operations on the captured image, embodiments of the present invention may also compute a confidence score which may present the user with a choice to either use the likely illuminant determined using the crowdsourced weights or the camera system's default or normal automatic white balancing correction algorithm.

Abstract: Embodiments of the present invention are operable to perform automatic white balancing operations on images captured by a camera system through the use of weights derived through crowdsourcing procedures. Embodiments of the present invention use crowdsourced weight data resident on the camera system in combination with sampled image data of a captured image to determine a likely illuminant source. When performing automatic white balancing operations on the captured image, embodiments of the present invention may also compute a confidence score which may present the user with a choice to either use the likely illuminant determined using the crowdsourced weights or the camera system's default or normal automatic white balancing correction algorithm.

Abstract: Embodiments of the present invention are operable to generate a set of weights derived through crowdsourcing procedures for use in automatically performing white balancing operations on images captured by a digital camera system. Embodiments of the present invention are operable to generate a set of images which are illuminated with known and different illuminants. Using crowdsourcing procedures, embodiments of the present invention gather user feedback concerning which images from the set of images adjusted by the known illuminants are considered to be the most aesthetically pleasing. Images selected by the users are then stored within a database of selected images. Using a learning engine, embodiments of the present invention may then produce a set of weights based on the user selected images for use in determining a likely illuminant when performing automatic white balancing operations performed on the camera system.