Abstract: A system and method for obtaining, by an electronic device, a first set of image data recorded during an image capture event and a second set of image data recorded during an image capture event. During the image capture event, a characteristic of an image capture device is changed from a first state to a second state. The first and second sets of image data are recorded by an image capture device having one or more image recording components with one or more image sensor arrays. An image is generated based at least in part on the first and second sets of image data.

Abstract: Image filter values can be obtained by applying a high-frequency or edge-detection image filter to an image to extract a level of image detail. The image can be divided into blocks of a predetermined size and the image filter values of the pixels in a block can be used to obtain a density value associated with the level of image detail for the block. For blocks where the density value exceeds a threshold amount, a degree of blur may be applied based on the density value. Thus, the image can be rendered so that only some of the blocks of the image are blurred while other blocks do not have blur applied.

Abstract: A system and method for obtaining, by an electronic device, a first set of image data recorded during an image capture event and a second set of image data recorded during an image capture event. During the image capture event, a characteristic of an image capture device is changed from a first state to a second state. The first and second sets of image data are recorded by an image capture device having one or more image recording components with one or more image sensor arrays. An image is generated based at least in part on the first and second sets of image data.

Abstract: A system and method for determining information about a scene of an image capture event, wherein a first set of image data and a second set of image data of a scene is recorded during an image capture event. Information is determined about the scene by comparing the first and second sets of image data and an image is generated based on the determined information. In some embodiments, depth map information is further generated based on the information. In some embodiments, the image is deblurred based on the information.

Abstract: A system and method for obtaining, by an electronic device, a first set of image data recorded during an image capture event and a second set of image data recorded during an image capture event. During the image capture event, a characteristic of an image capture device is changed from a first state to a second state. The first and second sets of image data are recorded by an image capture device having one or more image recording components with one or more image sensor arrays. An image is generated based at least in part on the first and second sets of image data.

Abstract: An system having an aperture configured to change state while recording one or more images during an image capture process, and a method for processing one or more recorded images by detecting at least a bokeh artifact within the one or more images and processing the images based at least in part on information obtained by analyzing the size and orientation of the bokeh artifact.

Abstract: The following description is directed to systems and methods for digital cameras. In one embodiment, a camera can comprise an optical system, a sensor array, a color spreader, a memory, and a controller. The optical system can focus an image. The sensor array comprises a plurality of pixels and can be configured to capture image data. The color spreader can be positioned between the optical system and the sensor array. The color spreader can comprise an array of segments, where each respective segment can be configured to spread a spectrum of incident light toward a corresponding group of pixels using diffraction or refraction. The memory can store one or more spatial models. The controller can be coupled to the sensor array and the memory. The controller can be configured to reconstruct spectral and spatial components of the image from the captured image data and one of the spatial models.

Abstract: A digital imaging tool and a method for enhancing, or adjusting, a saturation contrast of a digital image is provided. The digital imaging tool may convert an original color space of a digital image to a second color space having a saturation channel. The digital imaging tool may define a function based, at least partially, on one or more user-provided parameters. Saturation values of pixels of the digital image, in the second color space, may be adjusted, or enhanced, by applying each of the saturation values to the defined function to produce corresponding enhanced saturation values. The second color space then may be converted back to the original color space and a saturation-enhanced version of the digital image may be presented and/or saved.

Abstract: A digital imaging tool and a method for enhancing, or adjusting, a saturation contrast of a digital image is provided. The digital imaging tool may convert an original color space of a digital image to a second color space having a saturation channel. The digital imaging tool may define a function based, at least partially, on one or more user-provided parameters. Saturation values of pixels of the digital image, in the second color space, may be adjusted, or enhanced, by applying each of the saturation values to the defined function to produce corresponding enhanced saturation values. The second color space then may be converted back to the original color space and a saturation-enhanced version of the digital image may be presented and/or saved.