Image analysis – Image transformation or preprocessing – Combining image portions
Reexamination Certificate
2002-10-24
2004-04-27
Johns, Andrew W. (Department: 2623)
Image analysis
Image transformation or preprocessing
Combining image portions
C382S309000
Reexamination Certificate
active
06728421
ABSTRACT:
BACKGROUND
The present invention relates to an application program interface and methods for combining any number of arbitrarily selected image modifications in an image while assigning those modifications easily to an image area and/or image color to provide for optimally adjusting color, contrast, sharpness, and other image-editing functions in the image-editing process.
It is a well-known problem to correct color, contrast, sharpness, or other specific digital image attributes in a digital image. It is also well-known to those skilled in image-editing that it is difficult to perform multiple color, contrast, and other adjustments while maintaining a natural appearance of the digital image.
At the current stage of image-editing technology, computer users can only apply relatively basic functions to images in a single action, such as increasing the saturation of all pixels of an image, removing a certain colorcast from the entire image, or increasing the image's overall contrast. Well-known image-editing tools and techniques such as layer masks can be combined with existing image adjustment functions to apply such image changes selectively. However, current methods for image editing are still limited to one single image adjustment at a time. More complex tools such as the Curves functions provided in image editing programs such as Adobe Photoshop® provide the user with added control for changing image color, but such tools are difficult to apply, and still very limited as they apply an image enhancement globally to the image.
Additional image editing tools also exist for reading or measuring color values in the digital image. In its current release, Adobe Photoshop® offers a feature that enables the user to place and move up to four color reference points in an image. Such color reference points read properties (limited to the color values) of the image area in which they are placed. It is known to those skilled in the art that the only purpose of such color reference points is to display the associated color values; there is no image operation associated with such reference points. The reference points utilized in image-editing software are merely offered as a control tool for measuring an image's color values at a specific point within the image.
In other implementations of reference points used for measuring color in specific image regions, image-editing applications such as Adobe Photoshop®, Corel Draw®, and Pictographics iCorrect 3.0®, allow the user to select a color in the image by clicking on a specific image point during a color enhancement and perform an operation on the specific color with which the selected point is associated. For example, the black-point adjustment in Adobe Photoshop® allows the user to select a color in the image and specify the selected color as black, instructing the software to apply a uniform color operation to all pixels of the image, so that the desired color is turned into black. This method is not only available for black-point operations, but for pixels that are intended to be white, gray (neutral), skin tone, or sky, etc.
While each of these software applications provide methods for reading a limited number of colors and allow for one single operation which is applied globally and uniformly to the image and which only applies one uniform color cast change based on the read information, none of the methods currently used allow for the placement of one or more graphical representations of image reference points (IRPs) in the image that can read color or image information, be assigned an image editing function, be associated with one or more image reference points (IRPs) in the image to perform image-editing functions, be moved, or be modified by the user such that multiple related and unrelated operations can be performed.
What is needed is an application program interface and methods for editing digital images that enable the user to place multiple, arbitrary reference points in a digital image and assign image-editing functions, weighted values or any such combinations to enable multiple image-editing functions to be applied to an image.
SUMMARY
The present invention meets this need by enabling users to perform such complex image-editing operations easily by performing multiple, complex image enhancements in a single step. A method is described that allows the user to place a plurality of Image Reference Points [IRPs] in a digital image, assign an image-editing function to each IRP, and alter each image-editing function based on the desired intensity, effect, and its effect relative to other IRPs placed in the image, via any one of a variety of interface concepts described later in this disclosure.
A method for image processing of a digital image is disclosed comprising the steps of determining one or more sets of pixel characteristics; determining for each pixel characteristic set, an image editing function; providing a mixing function algorithm embodied on a computer-readable medium for modifying the digital image; and processing the digital image by applying the mixing function algorithm based on the one or more pixel characteristic sets and determined image editing functions. In one embodiment, the mixing function algorithm comprises a difference function. Optionally, the difference function algorithm calculates a value based on the difference of between pixel characteristics and one of the one or more determined pixel characteristic sets. In another embodiment, the mixing function algorithm includes a controlling function for normalizing the calculations.
In a further embodiment, the method adds the step of determining for each pixel characteristic set, a set of weighting values, and the processing step further comprises applying the mixing function algorithm based on the determined weighting value set.
In a further embodiment, a first pixel characteristic set is determined, and at least one characteristic in the first pixel characteristic set is location dependent, and at least one characteristic in the first pixel characteristic set is either color dependent, or structure dependent, or both. Alternatively, a first pixel characteristic set is determined, and at least two different characteristics in the first pixel characteristic set are from the group consisting of location dependent, color dependent, and structure dependent.
A method for processing of a digital image comprising the steps of 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 image editing function 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 modifying the digital image; and processing the digital image by applying the mixing function algorithm based on the one or more than one assigned image editing function and the coordinates of the one or more than one defined image reference point.
The method may optionally further comprise displaying a graphical icon at the coordinates of a defined image reference point.
A mixing function algorithm suitable to the invention is described, and exemplar alternative embodiments are disclosed, including a group consisting of a Pythagoras distance approach which calculates a geometric distance between each pixel of the digital image to the coordinates of the one or more than one defined image reference point, a color curves approach, a segmentation approach, a classification approach, an expanding areas approach, and an offset vector approach. Optionally, the segmentation approach comprises multiple segmentation, and additionally optionally the classification approach adjusts for similarity of pixel attributes. The mixing function algorithm may optionally operate as a function of the calculated geometric distance from each pixel of the digital image to the coordinates of the defined image reference points.
Optionally, the disclosed method further comprises receivin
Alavi Amir
Johns Andrew W.
Nik Multimedia, Inc.
Rose Robert J.
Sheldon & Mak
LandOfFree
User definable image reference points does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with User definable image reference points, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and User definable image reference points will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3236694