A system and method for colorimetric calibration is described herein. A system for performing color calibration is described, comprising at least one broad spectrum light emitting diode, at least one light diffuser plate, at least one interference filter, and a camera, the camera comprising at least one sensor for detection of colors, wherein a spectral response within 5% error of a ground truth method can be achieved. A method for performing color calibration is described, comprising transmitting light from at least one broad spectrum light emitting diode, scattering light with at least one light diffuser plate, filtering light with at least one interference filter, detecting light at a camera sensor, mapping an intensity value for each pixel of the camera sensor, and creating a quantum efficiency curve for each of red, green, and blue channels.

A method for determining a point spread function (PSF) of a camera, comprising: displaying on a display at least two images comprising visual features, elements having a different optical intensity, and a test pattern; acquiring the images using the camera; determining a coordinate transformation using the image comprising the visual features and its corresponding acquired image, the coordinate transformation for aligning together a coordinate system of the camera and a coordinate system of the display; aligning the acquired image comprising the elements having a different optical intensity using the determined coordinate system and determining a difference of intensity between the displayed image comprising the elements having a different optical intensity and the corresponding acquired image; aligning the acquired image comprising the test pattern and correcting an intensity of the acquired image comprising the test pattern, thereby obtaining a corrected image; and estimating a PSF using the corrected image.

To provide a calibration device of a camera, a camera system, and a calibration method of a camera which can achieve simplification of a calibration operation and improvement of accuracy of the calibration. A calibration device 2 includes a database 30, an instruction section 25, a correction section, and an evaluation section 24. Process data in accordance with a specification of a camera 11A is stored in the database 30. The instruction section 25 outputs an operation instruction to a display screen 50A based on the process data. The evaluation section 24 evaluates a correction image which is corrected by the correction section.

Described herein is a color calibration system and method including a display device including a non-volatile memory, a display screen, and a target sensor. The system and method further can include a computing system in communication with the display device and including a processor, a persistent memory, a temporary memory, and a reference sensor. A calibration matrix can be derived using the reference and target data captured by the target and reference sensors. The calibration matrix can be used to calibrate the target sensor using the calibration matrix.

Described herein is a color calibration system and method including a display device including a non-volatile memory, a display screen, and a target sensor. The system and method further can include a computing system in communication with the display device and including a processor, a persistent memory, a temporary memory, and a reference sensor. A calibration matrix can be derived using the reference and target data captured by the target and reference sensors. The calibration matrix can be used to calibrate the target sensor using the calibration matrix.

The present subject matter relates to examples of color calibration of image handling units. In an example, color settings of a flash light unit of a projector unit of a computing system may be calibrated with reference to a target calibration point. The flash light unit may function as an illumination source for an image capturing unit of the computing system. Further, based on the target calibration point and an image captured by the image capturing unit under illumination provided by the flash light unit, the color settings of the image capturing unit may be calibrated to synchronize the color settings of the image capturing unit to the color settings of the flash light unit.

The present subject matter relates to examples of color calibration of image handling units. In an example, color settings of a flash light unit of a projector unit of a computing system may be calibrated with reference to a target calibration point. The flash light unit may function as an illumination source for an image capturing unit of the computing system. Further, based on the target calibration point and an image captured by the image capturing unit under illumination provided by the flash light unit, the color settings of the image capturing unit may be calibrated to synchronize the color settings of the image capturing unit to the color settings of the flash light unit.

A stereo comparator configured for use with a stereo endoscope for adjusting and aligning an optical assembly of the stereo endoscope, for example, in connection with the repair of the endoscope. The comparator includes a housing containing a plurality of optical components, namely, a first deflecting component, a second deflecting component, a third deflecting component and a beam splitter. The optical components are arranged so that the first deflecting component deflects a first beam from a right image channel of a stereo endoscope to the beam splitter, the second deflecting component deflects a second beam from a left image channel of the stereo endoscope to the third deflecting component, the third deflecting component deflects the second beam to the beam splitter and the beam splitter combines the first beam with the second beam to form a first combined beam that extends along an optical axis of the stereo endoscope.

A method for determining objectively a visual quality index of at least one high dynamic range video sequence, referred to as an HDR sequence, distorted by image processing operations and issued from a reference high dynamic range video sequence, referred to a reference sequence or a reference HDR sequence. The method is based on signal pre-processing, transformation, and subsequent frequency based decomposition. Video quality is then computed based on a spatio-temporal analysis that relates to human eye fixation behavior during video viewing. One advantage of this method is that it does not involve expensive computations.

A method for determining objectively a visual quality index of at least one high dynamic range video sequence, referred to as an HDR sequence, distorted by image processing operations and issued from a reference high dynamic range video sequence, referred to a reference sequence or a reference HDR sequence. The method is based on signal pre-processing, transformation, and subsequent frequency based decomposition. Video quality is then computed based on a spatio-temporal analysis that relates to human eye fixation behavior during video viewing. One advantage of this method is that it does not involve expensive computations.