Abstract:
A method and system for controlling multiple image editing controls using one master control. The system identifies various characteristics of an image being edited. The system generates, for each of multiple image editing controls, a relationship between the master control and the image editing control. The relationship is based on at least one of the identified characteristics of the image being edited. The relationship is different for different images when the different images have different characteristics, such as different average color component values at a particular percentile of pixels in the images.
Abstract:
A system and method that receives and edits image data of an underwater scene in a digital image in order to remove undesirable tints from objects in the scene. In some embodiments, colors near the color of the water itself are protected to leave the water looking blue. Removing undesirable tints without removing the tint of the water itself results in images with more realistic coloring of people and objects in the scene, without eliminating the color cues (e.g., blue water) that indicate that the image is a photograph of an underwater scene.
Abstract:
Some embodiments of the image editing and organizing application described herein provide a multi-stage automatic enhancement process. The process takes an input image and feeds it through multiple different enhancement operations. The multiple enhancement operations of some embodiments are carried out in a particular order. In some embodiments, the particular order starts with exposure adjustment, then a white balance adjustment, then a vibrancy adjustment, then a tonal response curve adjustment, then a shadow lift adjustment.
Abstract:
A non-transitory machine readable medium that has a computer program for adjusting color values of an image represented in a color space is described. The image includes a set of pixels. Each pixel has a set of color values. The computer program receives a user input on a user interface (UI) item for adjusting color values of an image that are associated with a type of content. The computer program identifies a subset of pixels having color values that fall within a range of color values associated with the type of content. The computer program performs a color adjustment operation on the identified subset of pixels.
Abstract:
Devices, methods, and program storage devices for creating and/or displaying backwards-compatible High Dynamic Range (HDR) images are disclosed, comprising: obtaining two or more exposures of a scene; creating a gain map based on at least one of the two or more exposures, wherein the gain map comprises a plurality of pixels each corresponding to a portion of the scene, and wherein values of the pixels in the gain map comprise indications of a brightness level of the corresponding portions of the scene; combining the two or more exposures to form a first image; tone mapping the first image based on a Standard Dynamic Range (SDR) format to generate a first SDR image of the scene; and storing the first SDR image and created gain map in a first enhanced image file. The first enhanced image file may be, e.g., a HEIF, HEIC, PNG, GIF, JPEG, or other suitable file format.
Abstract:
Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for providing virtual lighting adjustments to image data. A number of source images may be generated to individually depict solid colors of a color space (e.g., RGB color space). Virtual lighting adjustments associated with a virtual lighting mode may be applied to each source image to generate a corresponding target image. The source images and the target images may be utilized to train a model to identify pixel modifications to be applied to image data. The modifications may be associated with a virtual lighting mode. Subsequently, a user may obtain image data (e.g., an image or video) select a virtual lighting mode via an image data processing application. The previously trained model may be utilized to modify the image to apply the virtual lighting effects associated with the selected virtual lighting mode.
Abstract:
Some embodiments provide a method of operating a device to capture an image of a high dynamic range (HDR) scene. Upon the device entering an HDR mode, the method captures and stores multiple images at a first image exposure level. Upon receiving a command to capture the HDR scene, the method captures a first image at a second image exposure level. The method selects a second image from the captured plurality of images. The method composites the first and second images to produce a composite image that captures the HDR scene. In some embodiments, the method captures multiple images at multiple different exposure levels.
Abstract:
This invention provides methods for spatially localized image editing. For example, an input image is divided into multiple bins in each dimension. For each bin, a histogram is computed, along with local image statistics such as mean, medium and cumulative histogram. Next, for each tile, a type of adjustment is determined and applied, including adjustment associated with Exposure, Brightness, Shadows, Highlights, Contrast, and Blackpoint. The adjustments are done for all tiles in the input image to render a small adjustment image. The small image is then interpolated, for example, using an edge-preserving interpolation, to get a full size adjustment image with adjustment curve for each pixel. Subsequently, per-pixel image adjustments can be performed across an entire input image to render a final adjusted image.
Abstract:
This invention provides methods for spatially localized image editing. For example, an input image is divided into multiple bins in each dimension. For each bin, a histogram is computed, along with local image statistics such as mean, medium and cumulative histogram. Next, for each tile, a type of adjustment is determined and applied, including adjustment associated with Exposure, Brightness, Shadows, Highlights, Contrast, and Blackpoint. The adjustments are done for all tiles in the input image to render a small adjustment image. The small image is then interpolated, for example, using an edge-preserving interpolation, to get a full size adjustment image with adjustment curve for each pixel. Subsequently, per-pixel image adjustments can be performed across an entire input image to render a final adjusted image.
Abstract:
Some embodiments provide a method of operating a device to capture an image of a high dynamic range (HDR) scene. Upon the device entering an HDR mode, the method captures and stores multiple images at a first image exposure level. Upon receiving a command to capture the HDR scene, the method captures a first image at a second image exposure level. The method selects a second image from the captured plurality of images. The method composites the first and second images to produce a composite image that captures the HDR scene. In some embodiments, the method captures multiple images at multiple different exposure levels.