Abstract: 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.

Abstract: 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 hue component value. The computer program identifies a set of hue ranges for the first image based on analysis of the hue component values of pixels in the first image. The computer program identifies a set of hue ranges for the second image based on analysis of the hue component values of pixels in the second image. The computer program modifies pixel values of the first image to match pixel values of the second image based on the sets of hue ranges for the first and second images.

Abstract: Some embodiments provide a computer program for matching colors of a first image to colors of a second image. The computer program identifies a set of transforms for converting the first image to a device-independent color space. The computer program modifies the set of transforms to segment colors of the first image into a set of segmented colors. The computer program applies the modified set of transforms to pixel values of the first image in order to segment the pixels of the first image into the set of segmented colors. The computer program applies the modified set of transforms to pixel values of the second image in order to segment the pixels of the second image into the set of segmented colors. The computer program matches each segmented color in the set of segmented colors in the first image to the segmented color in the second image.

Abstract: Some embodiments provide a method for detecting and/or identifying a set of faces in a video frame and performing a set of image processing operations based on locations of the set of faces. In particular, the method identifies a set of respective locations of the set of faces in the video frame and applies one or more image processing operations based on the locations of the set of faces found in the video frame. The image processing operations include color correction operations, non-color correction operations, and image processing operations that modify areas inside or outside of the detected and/or identified faces. Additionally, some embodiments provide a graphical user interface for automatically applying image processing operations to an area of a video frame isolated by an ellipse-shaped mask. Furthermore, some embodiments provide a system for automatically applying image processing operations to an area of a video frame isolated by an ellipse-shaped mask.

Abstract: Some embodiments provide a method that provides a display area for displaying an image that includes several of edges. The method provides a border drawing tool that in response to cursor movement across the image displays a search window about the cursor. The search window specifies a region to be searched to identify edges for use in defining a border for the image. In some embodiments, the size of the search window varies based on the speed of the cursor. The search window is a square box in some embodiments and a circle in other embodiments. The search window is centered at the cursor in some embodiments. In some embodiments, the display area is also for displaying the defined border over the image.

Abstract: Some embodiments provide a method for selecting a portion of an image. The method identifies edges in the image. The method defines a border about the portion of the image by using the identified edges. The method represents the border as a deformable curve. In some embodiments, defining the border includes detecting a cursor moving over the image and defining the border along identified edges in the vicinity of the cursor. In some embodiments, the method searches for edges in the vicinity of the cursor and snaps the border to the edges. Identifying the edges of the image includes performing an edge detection algorithm in some embodiments. Identifying the edges further includes performing a de-noise algorithm in some embodiments. In some embodiments, the parametrizable curve is a bezier spline.

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 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.

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 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.

Abstract: Some embodiments provide a method of selecting a section of interest in an image that includes numerous pixels. the method draws a curvilinear boundary about the section of interest. From the curvilinear boundary, the method generates a two-dimensional transition tunnel region about the section of interest. The method analyzes image data based on the tunnel region to identify a subset of pixels in the region that should be associated with the section of interest. In some embodiments, the tunnel region includes a pair of curves bounding the tunnel region. In some embodiments, the curvilinear boundary has a particular shape, and generating the tunnel region includes determining whether the tunnel can be generated at a specified width with both curves of the tunnel having the same particular shape as the defined border. In some embodiments, analyzing image data includes comparing pixels inside the transition tunnel region to pixels outside the transition tunnel region.

Abstract: Some embodiments provide a method of color correcting an image. Some such embodiments provide (1) a display area for displaying a modifiable graph correlating a first color attribute of the image to a set of second color attributes and (2) at least one tool that adjusts the graph in order to adjust color attributes in the image. The graph adjustment tool of some embodiments is a set of control points that specify the color correction adjustment over a parameterized curve representation of the graph. In some embodiments, the graphs are rasterized curves that are adjusted through the use of a Gaussian manipulator. The Gaussian manipulator distributes a second color attribute adjustment over a set of first color attribute values according to a Gaussian distribution. Moreover, some embodiments allow for the selective switching between the parameterized and rasterized curves or the control points and the Gaussian manipulator.

Abstract: Some embodiments provide a method that provides a display area for displaying an image. Some embodiments provide a tool that when activated generates a deformable tunnel based on a cursor movement through the display area. The tunnel is for differentiating a region of interest of the image from the rest of the image. The method provides a moveable tool for determining a width for the tunnel region. The moveable tool is a slider tool in some embodiments. In some embodiments, the moveable tool is for determining the initial width at which the tunnel is generated. The moveable tool is further for modifying the width of the tunnel after the tunnel is generated in some embodiments.

Abstract: Some embodiments provide a method that provides a display area for displaying an image that includes several of edges. The method provides a border drawing tool that in response to cursor movement across the image displays a search window about the cursor. The search window specifies a region to be searched to identify edges for use in defining a border for the image. In some embodiments, the size of the search window varies based on the speed of the cursor. The search window is a square box in some embodiments and a circle in other embodiments. The search window is centered at the cursor in some embodiments. In some embodiments, the display area is also for displaying the defined border over the image.

Abstract: Some embodiments provide a method that provides a display area for displaying an image. Some embodiments provide a tool that when activated generates a deformable tunnel based on a cursor movement through the display area. The tunnel is for differentiating a region of interest of the image from the rest of the image. The method provides a moveable tool for determining a width for the tunnel region. The moveable tool is a slider tool in some embodiments. In some embodiments, the moveable tool is for determining the initial width at which the tunnel is generated. The moveable tool is further for modifying the width of the tunnel after the tunnel is generated in some embodiments.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Some embodiments provide a method of providing tools for a media-editing application. The method provides a first tool that, upon invocation for a first image, initiates an automated process that adjusts colors of pixel values of the first image based on analysis of the pixel values. The method provides a second tool that, upon selection of the first image and a second image, adjusts colors of the first image to match the colors of the second image.

Abstract: 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 hue component value. The computer program identifies a set of hue ranges for the first image based on analysis of the hue component values of pixels in the first image. The computer program identifies a set of hue ranges for the second image based on analysis of the hue component values of pixels in the second image. The computer program modifies pixel values of the first image to match pixel values of the second image based on the sets of hue ranges for the first and second images.

Abstract: 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.

Abstract: Some embodiments provide a computer program for matching colors of a first image to colors of a second image. The computer program identifies a set of transforms for converting the first image to a device-independent color space. The computer program modifies the set of transforms to segment colors of the first image into a set of segmented colors. The computer program applies the modified set of transforms to pixel values of the first image in order to segment the pixels of the first image into the set of segmented colors. The computer program applies the modified set of transforms to pixel values of the second image in order to segment the pixels of the second image into the set of segmented colors. The computer program matches each segmented color in the set of segmented colors in the first image to the segmented color in the second image.