Television – Monitoring – testing – or measuring – Testing of camera
Reexamination Certificate
2000-10-25
2004-04-20
Kelley, Chris (Department: 2613)
Television
Monitoring, testing, or measuring
Testing of camera
C348S650000
Reexamination Certificate
active
06724422
ABSTRACT:
BACKGROUND OF THE INVENTION
The invention is directed to a method for the automatic selection of color calibrations for digital color image acquisition and color image recording, particularly for digital photography or digital video recording under arbitrary lighting conditions.
In digital color image acquisition, it is necessary to undertake a post-processing and correction of the digital image data in the area of the signal processing. For that purpose, the device-dependent digital image data are transformed into a standardized, device-independent color system, for example into the CIELAB system. Such a transformation is undertaken on the basis of a color calibration. A color calibration for a device for color image acquisition is acquired in that a calibrated color table having a plurality of color fields whose CIELAB color values are known is registered with the device. The image data of the take for the individual color fields in the device-dependent RGB system (red, green, blue) are interpreted and allocated to the known CIELAB color values of these color fields. The color calibration derives from this allocation, i.e. which CIELAB color data belong to specific RGB color data that the device generates when taking a picture is now known. The transformation of the take data of an image with the color calibration acquired in this way simultaneously effects a color correction of the image.
The transformation of registered RGB image data into CIELAB color data on the basis of a selected color calibration can occur in an image processing station but can also occur directly in a device for taking pictures, for example in a digital camera. Two methods are currently employed.
In the first method, every lighting condition present at the acquisition location is calibrated, i.e. the calibrated color table is first photographed under the current lighting and a color calibration matching this lighting is acquired therefrom and stored. The pictures are subsequently taken and stored. The images are then either immediately transformed into CIELAB color data with the color calibration acquired immediately therebefore or later in a processing station. Very good results with respect to the color quality are achieved with this method. However, lighting conditions can change very fast, for example due to clouds or the like given exterior shots, so that the determination of a new color calibration is required. This method has the disadvantage of greatly limiting the photographer since he needs additional material (the calibrated color table), additional knowledge and additional exposure time.
In the second method, color calibrations are defined for a few, permanently set lighting conditions, usually only daylight and artificial light, and are automatically or manually selected with an image light analysis. However, the results that are thereby achieved are not adequate given high demands or unusual lighting. Thea advantage of this method is that the user can work freely without having to constantly register color tables.
This second method is described in greater detail below. There are several possibilities for realizing the method, whereby there are two correction modules that are employed in combination or individually. The correction modules are color calibration and color cast compensation. Even when the correction modules are combined, they work independently of one another according to the Prior Art, i.e. they are selected independently of one another and are then successively applied.
When an image has a color cast, then a color cast compensation is undertaken. A color cast is usually determined in that the histograms of the red, green and blue part of the color image data are investigated.
FIG. 1
shows such histograms as an example. The densities of the color parts are entered on the horizontal axis, i.e. the logarithmized light intensity data. The frequencies of occurrence with which the densities occur in the image are entered on the vertical axis. Corner values for the darkest color values (image dark) and the brightest color values (image light) in the image are derived from the histograms. For example, the density at which the accumulated histogram has reached 5% is taken as image dark, and the density at which the accumulated histogram has reached 95% is taken as image light. The corner values acquired in this way are parameters that describe the color cast of an image. In the example of
FIG. 1
, the red part in the image light has a higher density than the green part and the blue part. The image thus has a red cast.
The color cast compensation is generally undertaken in that each primary color (RGB) is modified independently of one another by a linear function that is implemented on intensity-linear data, i.e. data that correspond to the sensor signals in the acquisition unit and are proportional to the intensity of the incident light. The colors are thereby provided with an offset and intensified such that the corner values given image light and/or image dark coincide after application of the function, i.e. image light and/or image dark subsequently lie on the gray axis. The linear functions for the color cast compensation can be realized as look-up tables that allocate modified color part data to the as yet unmodified color part data.
The color transformation on the basis of a color calibration can be implemented in addition to the color cast compensation or alone, i.e. without a preceding or following color cast compensation. The color transformation is a multi-dimensional allocation of color data, for example of CIELAB color data, to the RGB image data. Dependencies between the primary colors are thereby taken into consideration. The color calibration is generally designed as a multi-dimensional allocation table that is also referred to as a calibration fill. The color calibration, however, can also be defined by mathematical functions, for example by matrix multiplication. A color calibration can implicitly contain a color cast compensation that is worked into the multi-dimensional allocation table. No separate color cast compensation need be undertaken then. However, the color calibration can also be produced such that it assumes data free of color cast at the input and output of the transformation. In this case, a separate color cast compensation is implemented.
According to the Prior Art, the color calibration for digital image acquisition systems is based to a great extent on traditional photography. Daylight films are mainly employed in traditional photography. They are designed for a lighting corresponding to a color temperature of 5000-6000 K. This color temperature is delivered by all photoflash systems and under good daylight conditions. Artificial light films that are designed for approximately 3000 K and are used under halogen lighting are offered as the only widespread alternative to daylight films. Corresponding to the photographic standard, the digital image acquisition systems are calibrated for a color temperature of 5000-6000 K, i.e. the acquired image data are transformed with a color calibration matching this lighting. Slight deviations of the lighting are then potentially additionally compensated with a color cast compensation. Even despite the implementation of a color cast compensation, greater deviations lead
SUMMARY OF THE INVENTION
It is an object of the invention to acquire digital image data given arbitrary lighting conditions without burdening the user with the calibration operations needed due to a change in the lighting, whereby the further-processing of the images can automatically occur and a high color quality is achieved.
This object is achieved by a method for the automatic selection of color calibrations for digital color image acquisition, particularly for digital photography or digital video recording, under arbitrary lighting conditions, whereby a color image is to be corrected. Features of the invention are characterized in that at least one color calibration is generated in that an analysis of the color cast of the data of a tak
Duggins Alicia M.
Heidelberger Druckmaschinen AG
Kelley Chris
Schiff & Hardin LLP
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