Image analysis – Color image processing – Color correction
Reexamination Certificate
2000-04-07
2002-11-05
Tran, Phuoc (Department: 2621)
Image analysis
Color image processing
Color correction
C382S162000, C358S520000
Reexamination Certificate
active
06477271
ABSTRACT:
BACKGROUND
Color modification is a class of operations that may be performed an image (e.g., a digital image) to change colors of the image. Such color modifications may be made to correct color errors due to process errors and to adjust the colors used in the video for artistic expression. Such color modifications may include enhancing contrasts or color in an image to give a program an overall “look,” or applying special effects to selected segments. Other color modifications may be made by a user (e.g., an editor or colorist) to correct problems with color or lighting resulting from the source of the media. Such corrections may include color balancing for camera and lighting differences, correcting for film processing differences, matching colors and tones from shot to shot, or adjusting video levels for differences in source tapes, source decks, etc.
Such color modifications may be made on a computer or other digital-based system such as, for example, a digital non-linear editing (DNLE) system. DNLE is a process by which digital media may be edited. DNLE, as the name implies, is performed on digital media stored as data in digital media files on a digital random access medium. DNLE may be conducted in a non-linear fashion because the digital media files in which the digital media is stored can be randomly accessed. Thus a user may access a piece of the digital media without having to proceed sequentially through other pieces of the digital media stored in the same or other digital media files. More than one user also may be able to access different pieces of the same digital media contemporaneously. The digital media may be a digitized version of a film or videotape or digital media produced through live capture onto a disk of a graphics or animation software application. Example commercial DNLE systems include the Media Composer® or Symphony video production systems or NewsCutter® news editing system available from Avid Technology, Inc. For a more detailed description of DNLE, see
Digital Nonlinear Editing, New Approaches to Editing Film and Video
, 1993, by Thomas Ohanian (hereinafter Ohanian). For a more detailed description of computer graphics in general, see
Computer Graphics Principles and Practice
, second edition, 1997, by James D. Foley et al. (hereinafter Foley).
Digital images are comprised of an array of picture elements called pixels. For a given image, color modifications may be applied to all pixels in the image or pixels comprising a portion of the image. In digital video signal processing, a variety of data formats can be used to represent the color of pixels within a digital image. Formats may be classified into two major categories: composite signals and component signals. Component formats represent a color as multiple components, each component defining a value along a dimension of the color space in which the color being represented is defined. A composite video signal is an analog signal that uses a high frequency subcarrier to encode color information. The subcarrier is a sinewave of which the amplitude is modulated by the saturation of the color represented by the signal, and the hue of the color is encoded as a phase difference from a color burst. Analog composite signals are generally used to broadcast television video signals.
There are a variety of color spaces corresponding to component formats that may be used to represent color such as, for example, RGB, HSL, and YCbCr. RGB (Red, Green, Blue) color space represents a color with a red component, a green component and a blue component. In a three-dimensional coordinate system, each component of the RGB color space represents a value along an axis, the combination of the values defining a cubic color space.
The HSL (Hue, Saturation, Lightness or Luminance) color space represents a color with a hue component, H, a saturation component, S, and a luma component, L. In a three-dimensional HSL coordinate system, the luma component, Y, represents a value along a luma axis, the hue component, H, represents the angle of a chroma region with respect to the luma axis and the saturation component, S, represents the magnitude of the chroma region. The combination of the values defines a hexagonal cone-shaped color space.
The YCbCr color space represents a color with a luma component Y, and two chroma components, Cr and Cb. In a three-dimensional YCbCr coordinate system, each component of the YCbCr color space represents a value along an axis, the combination of the values defining a cylindrical color space around the luma axis. The chroma components, Cr and Cb, define the chroma region.
In either HSL or YCbCr color space, the luma component, L or Y, respectively, may be used independently to represent a pixel in a black and white (i.e. grayscale) image to be displayed, for example, with a black and white monitor. A pixel color represented with only a luma value may be referred to herein as having a grayscale value.
Further, in both HSL and YCbCr color space, the components defining a chroma (i.e., chrominance) chroma region, HS or CbCr, respectively, may be referred to herein as chroma components and may be referred to as defining a chroma. A plane defined by all possible values of chroma components for a given value of a luma may be referred to herein as a chroma plane. A two-dimensional region defined for such a chroma region may be referred to herein as a two-dimensional chroma region or a chroma region. Such a chroma region may be orthogonal to a luma axis. The term “chroma” may be used herein interchangeably with the term “chrominance.”
Color modifications may be specified to affect all pixels of a digital image or less than all pixels of a digital image. A color modification defined to affect less than all pixels of a digital image may be referred to herein as a “secondary color modification”. A user may specify a secondary color modification by specifying that color modification be applied only to pixels that meet certain criteria such as, for example, positional (e.g. coordinate-based) and color-space-based (i.e. component-based) criteria. For color space-based criteria, a user may specify, for example, that a secondary color modification be applied to all pixels of a digital image that have a chroma component that has a value within a certain range. In an HSL color space, for example, a user may specify that the secondary color modification be applied to all colors that fall within a range of hue and saturation values.
Various color modifications and support for managing them are described in U.S. patent application Ser. No. 09/392,823, entitled “Modification of Media with Common Attributes on a Digital Nonlinear Editing System” (the Gonsalves I application) by Robert Gonsalves and Michael D. Laird filed Sep. 9, 1999, and in U.S. patent application Ser. No. 09/293,732, entitled “Multi-tone Representation of a Digital Image on a Digital Nonlinear Editing System” (the Gonsalves II application), by Robert Gonsalves, filed Apr. 16, 1999. The contents of both these applications are herein incorporated by reference. Suitable commercial systems for color modification include the Media Composer® and Symphony video production systems, and Avid Media Illusion™, all available from Avid Technology, Inc. The Avid Media Illusion Reference Guide, available from Avid Technology, Inc. is herein incorporated by reference. Other commercial software applications may be used, including Adobe Photoshop from Adobe Systems Inc., Flame® from Discreet Logic, Inc, a division of Autodesk, Inc., and Renaissance 8:8:8 from daVinci Systems, Inc.
Some color modification systems that provide secondary color modification allow a user to define a chroma region for which to apply a secondary color modification. To define a chroma region, such systems typically provide a standard shape such as, for example, a rectangle or wedge-like shape. A rectangle may define a chroma region using Euclidean coordinates, such as for example, Cr and Cb, where both Cr and Cb represent a displacement from a luma axis on a chroma plane. A rectangle
Cooper Brian C.
Gonsalves Robert
Paoni Robert Alan
Avid Technology Inc.
Gordon Peter J.
Tran Phuoc
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