Abstract: A color analysis system includes a light source and a sensor configured to provide an output signal in response to reflected light received from the first light source. A controller receives the output signal and is configured to determine an adjustment factor based on the output signal, and determine a color based on the output signal and the adjustment factor.

Abstract: A method and system for processing images to, for example, capture artwork includes capturing a target image and an image of a reference. The reflectance functions of the target image are then measured. The target image is processed, using the measured reflectance functions and the captured image of the reference, to calculate a correction transform associated with the captured target image.

Abstract: A color analysis system includes a plurality of light sources configured to illuminate a test patch. A sensor is configured to receive light from the plurality of light sources reflected from the test patch. A controller is configured to determine the color of the test patch in response to light received by the sensor reflected from the first light source, and adjust the color determination in response to light received by the sensor reflected from the first and second light sources.

Abstract: A computer implemented method for utilizing a plurality of self-activating display shaping devices to provide shape adjustment information for a digital image projected on a display is disclosed. In one embodiment, the plurality of display shaping devices are automatically activated, the plurality of display shaping devices defining a desired digital image shape for a display. In addition, the plurality of display shaping devices is utilized to identify an actual projected digital image shape. The actual projected digital image shape is then compared with the desired digital image shape for the display. Correction information is then provided for adjusting the actual projected digital image shape to approximate the desired digital image shape for the display.

Abstract: An apparatus for color sensing is disclosed. The apparatus includes a set of color sensor tolerances for a Non-Contact color sensor device; and a Contact color sensor device, conforming to the set of color sensor tolerances.

Abstract: Image data processing methods, image data processing systems, and articles of manufacture are described. According to one aspect, an image data processing method includes accessing initial image data of a first image representation of a scene, selecting one of a plurality of imaging conditions, wherein the selected one of the imaging conditions is different than an initial one of the imaging conditions used to generate the initial image data, and processing the initial image data using the selected one of the imaging conditions to provide processed image data of a second image representation of the scene different from the first image representation of the scene, wherein the second image representation of the scene represents the scene as if it were captured according to the selected one of the imaging conditions.

Abstract: A device includes a housing; a color sensor within a first end of the housing, the color sensor configured to sense a color of a sample when the color sensor is placed proximate the sample; and a display within the housing, the display configured to display the color of the sample sensed by the color sensor.

Abstract: A method and system identify a target simplex (T7) and interpolate inputs of points (214, 216, 218) of the target simplex (T7) to identify a combination of inputs that achieves a target result (TR).

Abstract: A color analysis system includes a light source and a sensor configured to provide an output signal in response to reflected light received from the first light source. A controller receives the output signal and is configured to determine an adjustment factor based on the output signal, and determine a color based on the output signal and the adjustment factor.

Abstract: A color analysis system includes a plurality of light sources configured to illuminate a test patch. A sensor is configured to receive light from the plurality of light sources reflected from the test patch. A controller is configured to determine the color of the test patch in response to light received by the sensor reflected from the first light source, and adjust the color determination in response to light received by the sensor reflected from the first and second light sources.

Abstract: In a method for identifying substantially optimized characterization values of one or more components in an image capture apparatus a set of characterization values for the components is selected and responses and noise distributions of the sensor are modeled based upon the values contained in the set of the characterization values. The modeled responses and noise distributions are propagated through the image processing pipeline and a risk number associated with the selected set of characterization values from the propagated responses and noise distributions is obtained. In addition, substantially optimized characterization values of the one or more components are identified by substantially minimizing the risk number.

Abstract: Imaging device analysis methods, imaging device analysis systems, and articles of manufacture are described. According to one embodiment, an imaging device analysis method includes providing a plurality of first responsivity values corresponding to a first responsivity function of an imaging device, first determining that error associated with the first responsivity values is unacceptable, providing a plurality of second responsivity values corresponding to a second responsivity function of the imaging device responsive to the first determining, wherein the providing the second responsivity values comprises constraining the second responsivity values to comprise values of the same sign, second determining error associated with the second responsivity values, and selecting the second responsivity values responsive to the second determining yielding acceptable error.

Abstract: Ambient light analysis methods, imaging devices, and articles of manufacture are described. According to one aspect, an ambient light analysis method includes emitting light using a source, first filtering the light of the source providing first filtered light, first receiving the first filtered light using an imaging device, providing a first response of the imaging device to the first filtered light, second filtering ambient light providing second filtered light, second receiving the second filtered light using the imaging device, providing a second response of the imaging device to the second filtered light, and determining information regarding a spectral power distribution of the ambient light using the first response and the second response.

Abstract: A system and a method are provided for correcting the effect of non-uniform illumination on a reproduced image of a 2-D object. An image of a reference card in an illuminated setting is captured by an image capturing device. A 2-D object is placed in the same illuminated setting and the image of the object is captured. Next, a smoothing function for the reference card image is generated. The smoothing function is used to generate a smoothed reference card image. The smoothed reference card image is processed to compute inverse correction values, which are mathematical inverse of the pixel values in the smoothed reference card image. A pixel-by-pixel correction is then applied to the captured image of the 2-D object using the inverse correction values.

Abstract: A method for improving SNR without reducing dynamic range in a CMOS video sensor system under low illumination is described, wherein the CMOS video sensor system employing self-reset DPS architecture includes pixel level A/D conversion and wherein each DPS pixels is capable of resetting itself whenever a corresponding diode reaches saturation during integration time, the method comprising the steps of eliminating global frame reset for the self-reset DPS pixels, capturing and storing a plurality of frames, extending integration time beyond frame readout time, and generating frame images using one or more previously stored frames.

Abstract: Color balancing algorithms for digital image processing require an accurate estimate of the physical properties of the ambient scene illuminant, particularly its spectral power distribution. An active imaging method and apparatus estimate these properties by emitting modulated light with a known spectral power distribution into a region of a scene. Backscattered light is detected and demodulated to separate output representing active emitter light from output representing ambient illuminant light. Using the emitter-related detector output and the known emitter spectral power distribution, the surface spectral reflectance function of the illuminated scene region can be computed. Subsequently, the spectral power distribution of the ambient scene illuminant can be computed from the surface reflectance function and the illuminant-related output of the detector. The estimated spectral power distribution can be used in standard color balancing algorithms for digital or film images.

Abstract: A method for improving SNR without reducing dynamic range in a CMOS video sensor system under low illumination is described, wherein the CMOS video sensor system employing self-reset DPS architecture includes pixel level A/D conversion and wherein each DPS pixels is capable of resetting itself whenever a corresponding diode reaches saturation during integration time, the method comprising the steps of eliminating global frame reset for the self-reset DPS pixels, capturing and storing a plurality of frames, extending integration time beyond frame readout time, and generating frame images using one or more previously stored frames.

Abstract: Color balancing algorithms for digital image processing require an accurate estimate of the physical properties of the ambient scene illuminant, particularly its spectral power distribution. An active imaging method and apparatus estimate these properties by emitting modulated light with a known spectral power distribution into a region of a scene. Backscattered light is detected and demodulated to separate output representing active emitter light from output representing ambient illuminant light. Using the emitter-related detector output and the known emitter spectral power distribution, the surface spectral reflectance function of the illuminated scene region can be computed. Subsequently, the spectral power distribution of the ambient scene illuminant can be computed from the surface reflectance function and the illuminant-related output of the detector. The estimated spectral power distribution can be used in standard color balancing algorithms for digital or film images.