Apple Inc.

Autodesk Canada Inc.

Google Inc.

Autodesk Canada Co.

Daniel Pettigrew

Andrew Bryant

Dan Candela

Olivier Fedkiw

Jean-Pierre M Mouilleseaux

Peter Warner

Francois Paquin

Ce Liu

Michael Rubinstein

Jingyu Cui

Michael Krainin

Julia Winn

Aaron Joseph Maschinot

Ryan Alan Gallagher

Abraham Stephens

François Paquin

Adriana Dumitras

Aravind Krishnaswamy

Mike Stern

Peter Chou

Sevket Derin Babacan

Xin Tong

Jason Chang

Mark Lee Kawano

Ronald Frank Wotzlaw

Shaun M Poole

Mitchell Scott Middler

James Clinton Arndt

Michael J Garber

Robert J Bell

Fran&ccedil;ois Paquin

Patrick Arbez

Jorge Miguel Verdu Orts

Francois De Halleux

A computing device harmonizes output image properties displayed on a graphical user interface (GUI) when a user switches between two or more images of different image formats to display on the GUI. When a user interacts with a user interface to change one or more display properties of an image, a system modifies displayed image properties based on the user's modifications. If the user selects another image with different dynamic range than the first image, the system performs a backend image conversion so that the displayed properties of the second image correspond to the user-selected modifications to the displayed properties of the first image.

Color management technologies in video editing application

Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.

Adaptive glare removal and/or color correction

Display screen with animated graphical user interface

Methods and systems for modifying an image by applying an effect to an image are described. The effects include a pop effect, a light adjustment, or a color adjustment to an image. The methods and systems include providing a user slider for applying an effect to the image. The methods and systems further include determining a first portion of the image including a face and creating a protection mask to protect the face in the first portion during image modification. The protection mask may include an enhancement threshold for modifying the first portion of the image. The modification of the image may include modifying the second portion of the image differently than the first portion of the image. A method for enforcing different resolutions of a same input image to produce similar visual results is also described.

User sliders for simplified adjustment of images

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 computer program displays the image on a display device. The computer program receives several inputs on the displayed image. The several inputs include a selection of a point on the displayed image and a vector input. The computer program identifies a pixel of the image that corresponds to the selected point. Based on the color values of the identified pixel and the vector input, the program determines a color space transform for mapping a set of color values defined within the color space to a different set of color values.

Media editing with overlaid color adjustment tools

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 includes a set of color values. The computer program displays a composite bump on a tonal adjustment graph that is defined along a particular color component of the color space. The composite bump is generated by blending several bumps on the tonal adjustment graph. In response to receiving an input on a location on the tonal adjustment graph, the computer program creates a new bump based on the input and blending the new bump with the composite bump to create a modified composite bump. The computer program adjusts the color values of the image based on the modified composite bump.

Editing media using composite bumps

Some embodiments provide a computer program for performing a color matching operation. The computer program identifies first and second images. Each image includes several pixels. Each pixel includes a luma component value. Based on analysis of the luma component values of the pixels of the first and second images, the computer program determines a set of transforms to modify pixel values of the first image so that the pixel values of the first image are similar to pixel values of the second image. The computer program applies the set of transforms to the first image such that the pixel values of the first image are similar to the pixel values of the second image.

Luma-based color matching

Some embodiments provide a program that provides a graphical user interface (GUI). The GUI includes a display area for displaying an image that includes several pixels. Each pixel includes a set of pixel values in a three-dimensional color space. The GUI includes a first selectable GUI item for activating a color masking tool (1) for selecting a set of pixels in the image and (2) for defining a three-dimensional volume to encompass the pixel values of the set of pixels in the three-dimensional color space. The three-dimensional volume serves as an approximation of a rectangular cuboid that has at least one rounded corner. The GUI includes a second selectable GUI item for applying a color correction operation to the image by modifying pixels in the image that have pixel values encompassed by the three-dimensional volume in the three-dimensional color space.

User-aided image segmentation

Some embodiments provide a program that performs a color balance operation. The program identifies an image that includes several pixels. Each pixel includes a luma component value and chroma component values. The program analyzes the luma component values of the pixels in the image to identify several luma ranges. The program determines, for each luma range in the several luma ranges, a set of transforms for modifying chroma component values of pixels in the image in order to remove a color cast from the image. The program applies the sets of transforms to the image to remove the color casts from the image.

Color balance

Some embodiments provide a program that provides a graphical user interface (GUI). The GUI includes a display area for displaying an image that includes several pixels. The GUI includes a selectable masking tool for displaying in the display area an adjustable closed curve to identify a region in the image to apply a color correction operation. The selectable masking tool includes a selectable control for modifying the adjustable closed curve through a range of elliptical shapes that ranges from a pure ellipse to an approximate rectangle. The GUI includes a selectable GUI item for applying the color correction operation based on the selectable masking tool.

Shape masks

Some embodiments provide a method for automatically selecting a portion of an image that includes several pixels, each of which has a set of pixel values. The method identifies a background color of the image. For each region of a set of regions of a color space that correspond to the background color, the method determines whether a threshold number of pixels in the image have pixel values that are in the region. The method identifies the pixels of the image in the regions that correspond to the background color and have a threshold number of pixels in the image. The method generates a portion of the color space to define a selection of the image using the pixel values of the identified pixels.

Automatically keying an image

Some embodiments provide a method for editing an image that includes several pixels having pixel values in a color space. The method identifies (i) a shape in a plane of two dimensions of the color space and (ii) a range in a third dimension of the color space over which the first shape is propagated to form a first volume in the color space. Pixels whose pixel values are in the first volume of the color space are fully selected. The method displays a deformable curve along the third dimension that represents the manner in which the shape is propagated over the range of the color space.

Keying an image in three dimensions

Some embodiments provide a method that provides an image display area that displays an image having a set of pixels that have pixel values in a color space. The method provides a first GUI item that activates a first sampling tool for selecting a first section of the image. The first section includes a first set of pixels for defining a first portion of the color space enclosing the pixel values of the first set. An image pixel whose pixel values are in the first portion is fully selected. The method provides a second GUI item that activates a second sampling tool for selecting a second section of the image displayed in the image display area. The second section includes a second set of pixels for defining a second portion of the color space enclosing the first portion and excluding the pixel values of the first set of pixels.

Keying an image

Growing community of inventors

Pacific Palisades, CA, United States of America

Daniel Pettigrew