Google Inc.

Nik Software, Inc.

Nik Multimedia, Inc.

Nils Kokemohr

Florian Kriener

Daniel Fenner

Aravind Krishnaswamy

Ronald Frank Wotzlaw

Thomas Binder

Michael J Slater

Daniel Frederik Schwarz

Manuel Willie

A computer system for a narrational media organizer for transforming digital media into a personal, memorable story with minimal user input having a processor and storage with instructions for creating a narrational media organizer (NMO) environment, where a user can annotate one or more than one digital media file or graphical representations of the digital media files using a user interface; and an NMO data structure for storing the digital media and annotations of the NMO environment.

Narrative-based media organizing system for transforming and merging graphical representations of digital media within a work area

A method for healing a target region on an input image is described. A preview image is received; the preview image may reflect a down-sampled image of an original image. The method determines a target region for the preview image. The target region indicates a segment of the preview image designated for healing. The method may then heal the target region associated with the preview image using a transformation. The method may store one or more parameters associated with the healed preview image. The method may then provide for display the healed preview image to a user on a mobile device.

Image editing and repair

A method for applying filters to digital images with minimal amplification of image noise, comprising filtering the digital image with an EPDR edge-preserving detail-reducing filter, determining a matrix from the filtered image as a result of one or more structure adaptive functions, and modifying the digital image using the filter, adjusted by the matrix values, to produce an enhanced digital image. The order of processing may be inverted, by first determining the matrix and then filtering the matrix with the edge-preserving detail-reducing filter.

Method for noise-robust color changes in digital images

A method for replacing image data in a destination region that is divided into sub-pieces along one or more cutting paths, which start and end at two different points on the border, and finding replacement data for the sub-pieces. The cutting paths may be determined as a function of the type of image structured at the start and the end points. The cutting paths may also be determined as a function of the area of the sub-pieces and the lengths of the cutting paths. Optionally, the destination region may be determined by a spot detection algorithm. Further optionally, the spot detection algorithm may comprise calculation of a high pass filter, or detection of areas of luminosity and border-to-volume ratios. A method for moving an image element within an image is also provided.

Method for sliced inpainting

Implementations relate to modifying images with simulated light sources. In some implementations, a method includes receiving input indicating a location on a 2-D displayed image at which to position a light source element, and adjusting pixel values of the image to cause an illumination effect in the image based on the position of the light source element and based on a direction of illumination of the simulated light source with respect to one or more surfaces depicted in the image.

Modifying images with simulated light sources

A graphical user interface that is embodied in a computer-readable medium for execution on a computer, and configured for processing of an image that is displayed on a screen. The graphical user interface includes an original version of a control element, and a blurred version of the control element. The blurred version of the control element is superimposed over the image on the screen, and the original version of the control element is superimposed over the blurred version of the control element on the screen.

Graphical user interface and related method

Implementations generally relate to applying image enhancements. In some implementations, a method includes providing a selection of image enhancements to a user. The method also includes causing the image enhancements to be displayed as a collection of icons, where the collection includes icons representing different image enhancements, and where one or more of the image enhancements are applied to one or more images. The method also includes enabling the user to select any icon in the collection in order to modify the collection, where the selected icon has a corresponding selected image enhancement. The method also includes hiding icons associated with image enhancements that are subsequent image enhancements relative to the selected image enhancement. The method also includes deactivating the subsequent image enhancements corresponding to the hidden icons.

Compartmentalized image editing system

A method for filtering a digital image, comprising segmenting the digital image into a plurality of tiles; computing tile histograms corresponding to each of the plurality of tiles; deriving a plurality of tile transfer functions from the tile histograms preferably using 1D convolutions; interpolating a tile transfer function from the plurality of tile transfer functions; and filtering the digital image with the interpolated tile transfer function. Many filters otherwise difficult to conceive or to implement are possible with this method, including an edge-preserving smoothing filter, HDR tone mapping, edge invariant gradient or entropy detection, image upsampling, and mapping coarse data to fine data.

Method for image processing using local statistics convolution

A method for distorting a digital image comprising receiving the coordinates of one or more than one image reference point defined by a user within the digital image, receiving one or more than one spatial offset assigned by the user and associated with the coordinates of the one or more than one defined image reference point, providing a mixing function algorithm embodied on a computer-readable medium for distorting the digital image, calculating an offset matrix by applying the mixing function algorithm based on the one or more than one spatial offset and the coordinates of the one or more than one defined image reference point; and distorting the digital image by application of the offset matrix. A graphic tag may be associated with each of the defined image reference points and displayed over the digital image, and the assignment of the spatial offset may be accomplished by movement of the graphic tag with the pointing device. Abstract image reference points may be used to limit distortion.

Distortion of digital images using spatial offsets from image reference points

Implementations can relate to providing computer-assisted text and visual styling for images. In some implementations, a computer-implemented method includes determining a set of characteristics of an image, and applying one or more first visual modifications to the image based on one or more of the set of characteristics of the image. The method can include receiving user input defining user text, providing the user text in the image, and applying one or more second visual modifications to the image based on the user text and based on at least one of the set of characteristics of the image.

Computer-assisted text and visual styling for images

A method of displaying a high dynamic range image, comprising receiving the high dynamic range image, calculating a first set of tone mapping parameters as a function of the high dynamic range image, sub-sampling the first set of tone mapping parameters at a first resolution to create a first sub-sampled parameter set, creating a first tone-mapped image by processing the high dynamic range image as a function of the first sub-sampled parameter set, and displaying the first tone-mapped image. A method of composting a plurality of versions of an image to create the high dynamic range image is also disclosed such that the compositing may be modified as a function of received user input.

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Hamburg, Germany

Nils Kokemohr