Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating a lens blur effect in a digital image with interactive depth map refinement. The disclosed system generates a fused depth map comprising a combination of foreground depth values and background depth values from a layered depth map of pixels of a digital image and a focal matte indicating an in-focus range of depth values of the digital image. The disclosed system generates modified depth values for one or more selected portions of the digital image by modifying the fused depth map, the foreground depth values, and the background depth values according to a selected focus range and a selected correction mode. The disclosed system also renders the digital image to include a lens blur effect utilizing the modified depth values of the one or more selected portions of the digital image.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating a lens blur effect in a digital image with in-focus edge rendering. The disclosed system generates a focal matte indicating an in-focus range of depth values of a digital image based on a focus region and a depth map of the digital image. The disclosed system generates a layered depth map comprising foreground depth values and background depth values of pixels across the digital image according to the depth map and the focal matte. The disclosed system also renders the digital image to include a lens blur effect by utilizing the focal matte and the layered depth map to determine a combination of the foreground depth values and the background depth values in connection with a splatting operation.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating a lens blur effect in a digital image with interactive depth map refinement. The disclosed system generates a fused depth map comprising a combination of foreground depth values and background depth values from a layered depth map of pixels of a digital image and a focal matte indicating an in-focus range of depth values of the digital image. The disclosed system generates modified depth values for one or more selected portions of the digital image by modifying the fused depth map, the foreground depth values, and the background depth values according to a selected focus range and a selected correction mode. The disclosed system also renders the digital image to include a lens blur effect utilizing the modified depth values of the one or more selected portions of the digital image.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating a lens blur effect in a digital image with interactive light source adjustment. The disclosed system determines a gradient mask by detecting edges of a luminance map comprising luminance values of pixels in a digital image. The disclosed system determines a highlight mask by thresholding the luminance map to determine a subset of pixels with luminance values meeting a threshold luminance. The disclosed system also generates a gradient-highlight mask including pixel values from a combination of the gradient mask and the highlight mask. The disclosed system further generates a highlight guide image comprising indications of one or more light sources in the digital image based on the gradient-highlight mask and the highlight mask.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating a lens blur effect in a digital image with in-focus edge rendering. The disclosed system generates a focal matte indicating an in-focus range of depth values of a digital image based on a focus region and a depth map of the digital image. The disclosed system generates a layered depth map comprising foreground depth values and background depth values of pixels across the digital image according to the depth map and the focal matte. The disclosed system also renders the digital image to include a lens blur effect by utilizing the focal matte and the layered depth map to determine a combination of the foreground depth values and the background depth values in connection with a splatting operation.

Abstract: A slider garage includes an overmolded body, the overmolded body oriented on a zipper, the overmolded body including an overmolded male portion and an overmolded female portion, the overmolded male and female portions positioned on an end of the zipper, such that each is on one side of the zipper, the overmolded male portion being shaped such that it fits in the overmolded female portion in a watertight fashion and the overmolded body is molded over a portion of the zipper.

Abstract: A slider garage includes an overmolded body, the overmolded body oriented on a zipper, the overmolded body including an overmolded male portion and an overmolded female portion, the overmolded male and female portions positioned on an end of the zipper, such that each is on one side of the zipper, the overmolded male portion being shaped such that it fits in the overmolded female portion in a watertight fashion and the overmolded body is molded over a portion of the zipper.

Abstract: A slider garage includes an overmolded body, the overmolded body oriented on a zipper, the overmolded body including an overmolded male portion and an overmolded female portion, the overmolded male and female portions positioned on an end of the zipper, such that each is on one side of the zipper, the overmolded male portion being shaped such that it fits in the overmolded female portion in a watertight fashion and the overmolded body is molded over a portion of the zipper.

Abstract: An automated process empirically normalizes a “dark” image by adjusting the apparent exposure to compensate for nonlinearity in the luminance response of the image sensor. The process includes receiving at least two digital images, one of the digital images having an exposure value that is greater than that of another of the digital images. A reduced-resolution pair of images is produced from the at least two digital images. At least one representative scale factor is calculated from tonal values in the two images and at least one empirical scale factor is determined by selective interpolation between the representative scale factor and a comparative scale factor. The empirical scale factor is used in a function applied pixelwise to the darker of the digital images to produce an empirically normalized digital image.

Abstract: In some embodiments, an image capture device receives a capture command to capture an image. Exposure adjustment operations are subsequently performed. These operations include determining that a first luminance indicated by first image data, which is obtained using a first exposure value, exceeds a threshold luminance. The operations also include decreasing, based on the threshold luminance being exceeded, the first exposure value to a second exposure value. The operations also include determining, from second image data obtained using the second exposure value, that a second luminance indicated by the second image data is less than the threshold luminance. The HDR setting of the image capture device is configured to include a bracket of exposure values, where the second exposure value is a minimum exposure value from the bracket of exposure values. The image capture device executes a capture operation in which an image bracket is captured using this HDR setting.

Abstract: An automated process empirically normalizes a “dark” image by adjusting the apparent exposure to compensate for nonlinearity in the luminance response of the image sensor. The process includes receiving at least two digital images, one of the digital images having an exposure value that is greater than that of another of the digital images. A reduced-resolution pair of images is produced from the at least two digital images. At least one representative scale factor is calculated from tonal values in the two images and at least one empirical scale factor is determined by selective interpolation between the representative scale factor and a comparative scale factor. The empirical scale factor is used in a function applied pixelwise to the darker of the digital images to produce an empirically normalized digital image.

Abstract: An automated process empirically normalizes a “dark” image by adjusting the apparent exposure to compensate for nonlinearity in the luminance response of the image sensor. The process includes receiving at least two digital images, one of the digital images having an exposure value that is greater than that of another of the digital images. A reduced-resolution pair of images is produced from the at least two digital images. At least one representative scale factor is calculated from tonal values in the two images and at least one empirical scale factor is determined by selective interpolation between the representative scale factor and a comparative scale factor. The empirical scale factor is used in a function applied pixelwise to the darker of the digital images to produce an empirically normalized digital image.

Abstract: An automated process empirically normalizes a “dark” image by adjusting the apparent exposure to compensate for nonlinearity in the luminance response of the image sensor. The process includes receiving at least two digital images, one of the digital images having an exposure value that is greater than that of another of the digital images. A reduced-resolution pair of images is produced from the at least two digital images. At least one representative scale factor is calculated from tonal values in the two images and at least one empirical scale factor is determined by selective interpolation between the representative scale factor and a comparative scale factor. The empirical scale factor is used in a function applied pixelwise to the darker of the digital images to produce an empirically normalized digital image.

Abstract: In some embodiments, an image capture device receives a capture command to capture an image. Exposure adjustment operations are subsequently performed. These operations include determining that a first luminance indicated by first image data, which is obtained using a first exposure value, exceeds a threshold luminance. The operations also include decreasing, based on the threshold luminance being exceeded, the first exposure value to a second exposure value. The operations also include determining, from second image data obtained using the second exposure value, that a second luminance indicated by the second image data is less than the threshold luminance. The HDR setting of the image capture device is configured to include a bracket of exposure values, where the second exposure value is a minimum exposure value from the bracket of exposure values. The image capture device executes a capture operation in which an image bracket is captured using this HDR setting.

Abstract: A user touches a touch sensitive display or otherwise provides input comprising “stroke” gestures to trace areas which are to be the subject of post-processing functions. The stroke area is highlighted and can be added to or corrected by additional stroke and “erase” gestures. Pixel objects are detected proximate to the stroke area, with a precision based on the zoom level. Stroke gesture input may be received and pixel object determination may be performed in series or in parallel.

Abstract: A user touches a touch sensitive display or otherwise provides input comprising “stroke” gestures to trace areas which are to be the subject of post-processing functions. The stroke area is highlighted and can be added to or corrected by additional stroke and “erase” gestures. Pixel objects are detected proximate to the stroke area, with a precision based on the zoom level. Stroke gesture input may be received and pixel object determination may be performed in series or in parallel.

Abstract: A tie-down and tensioning device including: a device body, an attachment member connected to the device body, the attachment member including an attachment opening; a cord block comprising a cord block hook connected to the device body, and a cord support surface disposed between the cord block hook and the device body, and a cord gripper attached to the device body, the cord gripper comprising a cord gripper hook connected to the device body, the interior surface of the cord gripper hook and the surface of the device body opposing the interior surface of the cord gripper hook defining a wedge-shaped opening, and a cord gripping surface formed on one of the interior surface of the cord gripper hook and the opposing surface of the device body.

Abstract: A carrying case apparatus having a case body and one or more elastic straps coupled to the case body forming a sleeve for receiving an audio headset. A tab is secured to the strap via a closed loop looped around the strap. By grasping the tab and pulling the elastic strap away from the base surface to create a gap between the strap and the base surface, then inserting the headset into the gap and releasing the tab, the headset is secured between said one or more elastic bands and the base surface.

Abstract: A connectorized fiber optic cabling assembly includes a loose tube fiber optic cable and a connector assembly. The cable has a termination end and includes: an optical fiber bundle including a plurality of optical fibers; at least one strength member; and a jacket surrounding the optical fiber bundle and the at least one strength member. The connector assembly includes a rigid portion and defines a fiber passage. The connector assembly is mounted on the termination end of the cable such that the optical fiber bundle extends through at least a portion of the fiber passage. The plurality of optical fibers of the optical fiber bundle have a ribbonized configuration in the rigid portion of the connector assembly and a loose, non-ribbonized configuration outside the rigid portion. The plurality of optical fibers undergo a transition from the ribbonized configuration to the loose, non-ribbonized configuration in the rigid portion of the connector assembly.