Abstract: Exemplary embodiments are directed to a system for selective enhancement of an object in an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more objects in the original image, generate a neural network mask of the original image for the one or more objects in the original image, apply one or more enhancements to the objects associated with the neural network mask, the one or more modules generating an enhanced image including the one or more enhancements to the objects, and generate a combined image, the combined image including the original image combined with the one or more enhancements to the objects of the enhanced image.

Abstract: Example embodiments are directed to a system of image enhancement. An interface device is configured to receive as input one or more input images. The one or more input images have one or more exposure values. A processing device is configured to execute an exposure value (EV) resampling module to generate one or more resampled images having exposure values different from the one or more exposure values of the one or more input images. The resampled images have a range of exposure values. The processing device is configured to execute a filtering module to filter the resampled images, and output a set of filtered images. The processing device is configured to execute a blending module to sequentially blend the set of filtered images, and output a merged image.

Abstract: Exemplary embodiments are directed to a system for content-aware enhancement of an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image to detect one or more objects in the original image, generate an in-focus person mask of the original image for one or more in-focus people in the original image, and apply one or more enhancements to areas of the original image excluding the in-focus person mask.

Abstract: Exemplary embodiments are directed to a system for selective enhancement of skin features in an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more skin imperfections in the original image, generate a neural network mask of the original image for the one or more skin imperfections in the original image, generate one or more source patches based on the original image, and, replace the one or more skin imperfections in the original image with the one or more source patches to generate a patched skin image.

Abstract: Exemplary embodiments are directed to a system for selective enhancement of an object in an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more objects in the original image, generate a neural network mask of the original image for the one or more objects in the original image, apply one or more enhancements to the objects associated with the neural network mask, the one or more modules generating an enhanced image including the one or more enhancements to the objects, and generate a combined image, the combined image including the original image combined with the one or more enhancements to the objects of the enhanced image.

Abstract: Exemplary embodiments are directed to a system for selective replacement of an object in an image. The system includes an interface configured to receive as input an original image and a background image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more objects in the original image, generate a neural network mask of the original image for the one or more objects in the original image, generate a filtered original image including the original image without the one or more objects, generate a modulated background image including a replacement background based on the neural network mask, and generate a combined image including the filtered original image combined with the modulated background image.

Abstract: Exemplary embodiments are directed to a system for selective enhancement of an object in an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more objects in the original image, generate a neural network mask of the original image for the one or more objects in the original image, apply one or more enhancements to the objects associated with the neural network mask, the one or more modules generating an enhanced image including the one or more enhancements to the objects, and generate a combined image, the combined image including the original image combined with the one or more enhancements to the objects of the enhanced image.

Abstract: Exemplary embodiments are directed to a system for content-aware enhancement of an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image to detect one or more objects in the original image, generate an in-focus person mask of the original image for one or more in-focus people in the original image, and apply one or more enhancements to areas of the original image excluding the in-focus person mask.

Abstract: Exemplary embodiments are directed to a system for selective enhancement of skin features in an image. The system includes an interface configured to receive as input an original image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more skin imperfections in the original image, generate a neural network mask of the original image for the one or more skin imperfections in the original image, generate one or more source patches based on the original image, and, replace the one or more skin imperfections in the original image with the one or more source patches to generate a patched skin image.

Abstract: Exemplary embodiments are directed to a system for selective replacement of an object in an image. The system includes an interface configured to receive as input an original image and a background image, and a processing device in communication with the interface. The processing device is configured to process the original image using a neural network to detect one or more objects in the original image, generate a neural network mask of the original image for the one or more objects in the original image, generate a filtered original image including the original image without the one or more objects, generate a modulated background image including a replacement background based on the neural network mask, and generate a combined image including the filtered original image combined with the modulated background image.