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 first sequence of video fingerprints at a first image repetition rate is compared with a second sequence of video fingerprints at a second, different image repetition rate. A converted sequence of fingerprints is generated from the first or second sequence of fingerprints by forming a combination of the values of a number of neighbouring fingerprints. The combination is a weighted average based on the temporal location of the respective neighbouring fingerprints in the first sequence of fingerprints with respect to the fingerprint in the converted sequence. A correlation is then performed between the converted sequence of fingerprints and the other sequence of fingerprints.

A first sequence of video fingerprints at a first image repetition rate is compared with a second sequence of video fingerprints at a second, different image repetition rate. A converted sequence of fingerprints is generated from the first or second sequence of fingerprints by forming a combination of the values of a number of neighbouring fingerprints. The combination is a weighted average based on the temporal location of the respective neighbouring fingerprints in the first sequence of fingerprints with respect to the fingerprint in the converted sequence. A correlation is then performed between the converted sequence of fingerprints and the other sequence of fingerprints.

There are provided computerized systems and methods for video quality assessment, the system including a server including a database configured to store pointers to a plurality of video clip pairs and a processor operatively connected thereto, configured to store pointers to a plurality of video clip pairs to be used in one or more test sessions performed by one or more users. The processor is configured to create, for each test session performed by a respective user: a test set, a display order and display positions of the each video in each video clip pairs in the set, and is further configured to send the one or more test sets to the one or more users for assessing quality and to receive feedback regarding the assessed quality, wherein the feedback is usable for providing subjective quality evaluation of the plurality of video clip pairs.

A comparison area detection unit of image processing circuitry detects an image area of a fading determination object on the basis of an image signal generated by an image capturing unit using a color filter as a comparison area. A color information generation unit generates color information from the image signal of the comparison area and uses the color information as comparison target information. A color information comparison unit compares the color information of the fading determination object as fading determination reference information with the comparison target information. A fading information generation unit generates fading information indicating that a fading level of the color filter exceeds a predetermined level or the fading level of the color filter on the basis of comparison information indicating a comparison result between the fading determination reference information and the comparison target information. The fading state of the color filter can be detected with precision.

In a calibration method, high-accuracy reference values obtained using a high-accuracy optical sensor are received, low-accuracy reference values are determined from reference colors captured from a display using a low-accuracy optical sensor having a lower accuracy than the high-accuracy optical sensor, color measurement values are determined from one or more colors captured from the display using the low-accuracy optical sensor, and the color measurements values are adjusted based on one or more color conversion equations to obtain adjusted color measurement values. The one or more color conversion equations are based on the high-accuracy measurement values and the low-accuracy measurement values. The high-accuracy reference values are reused for calibrations of one or more other low-accuracy optical sensors.

In a calibration method, high-accuracy reference values obtained using a high-accuracy optical sensor are received, low-accuracy reference values are determined from reference colors captured from a display using a low-accuracy optical sensor having a lower accuracy than the high-accuracy optical sensor, color measurement values are determined from one or more colors captured from the display using the low-accuracy optical sensor, and the color measurements values are adjusted based on one or more color conversion equations to obtain adjusted color measurement values. The one or more color conversion equations are based on the high-accuracy measurement values and the low-accuracy measurement values. The high-accuracy reference values are reused for calibrations of one or more other low-accuracy optical sensors.

Embodiments of the present application are directed toward a focusing Schlieren technique that is capable of adding color-coded directional information to the visualization of density gradients. Other advantages of the technique can include that it does not require manual calibration, has a simple design and is sensitive enough to be used in compact experimental setups. Certain embodiments include the use of a color-coded source image that replaces the conventional source grid. The technique may benefit from a computer-controlled digital background, which is used for both illumination and display of color-coded source images.

Embodiments of the present application are directed toward a focusing Schlieren technique that is capable of adding color-coded directional information to the visualization of density gradients. Other advantages of the technique can include that it does not require manual calibration, has a simple design and is sensitive enough to be used in compact experimental setups. Certain embodiments include the use of a color-coded source image that replaces the conventional source grid. The technique may benefit from a computer-controlled digital background, which is used for both illumination and display of color-coded source images.

The disclosed computer-implemented method includes systems for optimizing color rendition in an LED volume virtual production stage. For example, the described systems optimize or correct color rendition by applying a series of color correction matrices to color pixel values within the virtual production stage and to final captured imagery filmed within the virtual production stage. The described systems generate the color correction matrices from four calibration images taken within the virtual production stage. Various other methods, systems, and computer-readable media are also disclosed.