Abstract: An example apparatus for adjusting eye gaze in images one or more processors to execute instructions to bidirectionally train a neural network; access a target angle and an input image, the input image including an eye in a first position; generate a vector field with the neural network; and generate a gaze-adjusted image based on the vector field, the gaze-adjusted image including the eye in a second position.

Abstract: An example apparatus for adjusting eye gaze in images one or more processors to execute instructions to bidirectionally train a neural network; access a target angle and an input image, the input image including an eye in a first position; generate a vector field with the neural network; and generate a gaze-adjusted image based on the vector field, the gaze-adjusted image including the eye in a second position.

Abstract: An example apparatus for adjusting eye gaze in images one or more processors to execute instructions to bidirectionally train a neural network; access a target angle and an input image, the input image including an eye in a first position; generate a vector field with the neural network; and generate a gaze-adjusted image based on the vector field, the gaze-adjusted image including the eye in a second position.

Abstract: An example apparatus for correcting gaze in images includes an image receiver to receive an image comprising an eye and a target angle set to a center. The apparatus also includes a bidirectionally trained convolutional neural network (CNN) to receive the image and the target angle from the image receiver and generate a vector field and a brightness map based on the image and the target angle. The apparatus further includes an image corrector to generate a gaze corrected image based on the vector field and the brightness map.

Abstract: A mechanism is described for facilitating automatic tuning of image signal processors using reference images in image processing environments, according to one embodiment. A method of embodiments, as described herein, includes one or more processors to: receive images associated with one or more scenes captured by one or more cameras; access tuning parameters associated with functionalities within an image signal processor (ISP) pipeline; generate reference images based on the tuning parameters, wherein a reference image is associated with an image for each functionality within the ISP pipeline; and automatically tune the ISP pipeline based on selection of one or more of the reference images for one or more of the images for one or more of the functionalities.

Abstract: An example apparatus for correcting gaze in images includes an image receiver to receive an image comprising an eye and a target angle set to a center. The apparatus also includes a bidirectionally trained convolutional neural network (CNN) to receive the image and the target angle from the image receiver and generate a vector field and a brightness map based on the image and the target angle. The apparatus further includes an image corrector to generate a gaze corrected image based on the vector field and the brightness map.

Abstract: A mechanism is described for facilitating automatic tuning of image signal processors using reference images in image processing environments, according to one embodiment. A method of embodiments, as described herein, includes one or more processors to: receive images associated with one or more scenes captured by one or more cameras; access tuning parameters associated with functionalities within an image signal processor (ISP) pipeline; generate reference images based on the tuning parameters, wherein a reference image is associated with an image for each functionality within the ISP pipeline; and automatically tune the ISP pipeline based on selection of one or more of the reference images for one or more of the images for one or more of the functionalities.

Abstract: Techniques related to spatially adjustable flash exposures for imaging devices are discussed. Such techniques may include adjusting region transparencies of a flash filter panel adjacent to a flash module of the image device based on flash filter panel control parameters and exposing the scene by providing a flash light from the flash module and through the flash filter control panel.

Abstract: Techniques related to spatially adjustable flash exposures for imaging devices are discussed. Such techniques may include adjusting region transparencies of a flash filter panel adjacent to a flash module of the image device based on flash filter panel control parameters and exposing the scene by providing a flash light from the flash module and through the flash filter control panel.

Abstract: A system, article, and method of run-time self-calibrating lens shading correction.

Abstract: A system, article, and method of run-time self-calibrating lens shading correction.

Abstract: An image restoration method includes providing image data (260) including image statistics (230) using a digital camera module. A set of digital camera module characterization parameters is selected from a common dynamic camera configuration file (210) using the image statistics (230). The selected digital camera module characterization parameters are converted to image signal processing parameters and the image data is tuned using the image signal processing parameters for providing a tuned image (270). The method may involve lens shading correction as well adjusting the processing to the characteristics of the image sensor (250).

Abstract: An image restoration method includes providing image data (260) including image statistics (230) using a digital camera module. A set of digital camera module characterization parameters is selected from a common dynamic camera configuration file (210) using the image statistics (230). The selected digital camera module characterization parameters are converted to image signal processing parameters and the image data is tuned using the image signal processing parameters for providing a tuned image (270). The method may involve lens shading correction as well adjusting the processing to the characteristics of the image sensor (250).