A video quality objective assessment method based on a spatiotemporal domain structure firstly combines a spatiotemporal domain gradient magnitude and color information for calculating a spatiotemporal domain local similarity, and then uses variance fusion for spatial domain fusion. The spatiotemporal domain local similarity is fused into frame-level objective quality value, and then a temporal domain fusion model is established by simulating three important global temporal effects, which are a smoothing effect, an asymmetric track effects and a recency effect, of a human visual system. Finally, the objective quality values of the distorted video sequence are obtained. By modeling the human visual temporal domain effect, the temporal domain weighting method of the present invention is able to accurately and efficiently evaluate the objective quality of the distorted video.

A video quality objective assessment method based on a spatiotemporal domain structure firstly combines a spatiotemporal domain gradient magnitude and color information for calculating a spatiotemporal domain local similarity, and then uses variance fusion for spatial domain fusion. The spatiotemporal domain local similarity is fused into frame-level objective quality value, and then a temporal domain fusion model is established by simulating three important global temporal effects, which are a smoothing effect, an asymmetric track effects and a recency effect, of a human visual system. Finally, the objective quality values of the distorted video sequence are obtained. By modeling the human visual temporal domain effect, the temporal domain weighting method of the present invention is able to accurately and efficiently evaluate the objective quality of the distorted video.

Systems and methods for color calibrating an image are described herein. In some embodiments, a method includes disposing a unique identifier and a fiducial marker that includes a plurality of color regions on an object. A first image of the object is captured with a first camera and a second image of the object that is captured with a second camera is received. The second image is associated with the first image based on the unique identifier and spectral information of at least a portion of the fiducial marker in the second image is compared with spectral information of at least the portion of the fiducial marker in the first image. Based on the comparison, the second image is resampled to substantially match at least the portion of the fiducial marker in the second image to at least the portion of the fiducial marker in the first image.

Systems and methods for color calibrating an image are described herein. In some embodiments, a method includes disposing a unique identifier and a fiducial marker that includes a plurality of color regions on an object. A first image of the object is captured with a first camera and a second image of the object that is captured with a second camera is received. The second image is associated with the first image based on the unique identifier and spectral information of at least a portion of the fiducial marker in the second image is compared with spectral information of at least the portion of the fiducial marker in the first image. Based on the comparison, the second image is resampled to substantially match at least the portion of the fiducial marker in the second image to at least the portion of the fiducial marker in the first image.

A calibration plate and a method for calibrating image capturing devices are provided. The calibration plate includes: a plate having a front face and a rear face; a plurality of calibration patterns formed at the front face of the plate, arranged in a regular manner, and used to calibrate image distortions, lens aberrations, and image center positions for the image capturing devices; and a plurality of graphically encoded patterns formed at the front face of the plate, the graphically encoded patterns being different from each other, and the graphically encoded patterns having information providing the positions of the calibration patterns.

The invention introduces a method for determining frame resolution, performed by a processing unit, which contains at least the following steps: obtaining a YUV video file, which contains a video stream; selecting a plurality of frame resolutions from a frame resolution table as frame resolution candidates according to the length of the video stream; repeatedly executing a loop m times, and in each iteration, obtaining at least two frames of the video stream according to one unexamined frame resolution candidate and calculating the correlation between the obtained frames, wherein m represents the quantity of frame resolution candidates; determining the best frame resolution from the frame resolution candidates according to the calculated correlations; and outputting the best frame resolution, thereby enabling a video decoder to segment the video stream into frames according to the best frame resolution and decode the segmented frames.

A calibration method of an image capture system includes an image capture device of at least one image capture device capturing an image including a plurality of intersection coordinates among a plurality of geometric blocks of a test pattern and an information of a color of each geometric block of the plurality of geometric blocks; an operation unit executing a first operation on the plurality of intersection coordinates within the image to generate a plurality of geometric calibration parameters; the operation unit executing a second operation on an information of a color of each geometric block of the plurality of geometric blocks within the image to generate a plurality of color calibration parameters; and a calibration unit calibrating the image capture device according to the plurality of geometric calibration parameters and the plurality of color calibration parameters.

A system includes a calibration plate with fiducial markers, a device under test interface, an alignment stage with a rotary sub-stage and a linear sub-stage, and a camera on the alignment stage.

The present invention provides a gamma setting system for a display device including: an optical measuring unit measuring an optical property of a display device including an emissive display panel having red, green and blue sub-pixels; a control center performing a null setting step and an automatic setting step using the optical property of the display device; a system driving unit transmitting a result data between the display device and the control center; a first display unit displaying a TW target luminance, a TW target chromaticity and an RGB inherent chromaticity registered for the null setting step and the automatic setting step, a graph of a gray level voltage and a luminance of an RGB and a TW with respect to a gray level, a high level cell driving voltage (PVDD) and a low level cell driving voltage (PVEE) applied to an emitting element, a high level gamma source voltage (VDDH) and a low level gamma source voltage (VDDL) applied to a driving IC, a gamma slope, a contrast ratio, a driving type of the system, a gamma setting, an instruction on an execution command, and a progress state of the display device.

The invention discloses a method and system for adjusting white balance, and a display, and belongs to the technical field of display. The method for adjusting the white balance is applied to the display, and comprises the following steps: identifying image information of a currently played frame image to be adjusted; obtaining a matched target color temperature value according to the image information; and adjusting a white balance parameter of the frame image to be adjusted according to the target color temperature value. According to the method disclosed by the invention, by identifying the image information of the currently played frame image to be adjusted, and obtaining the matched target color temperature value according to the image information, the white balance parameter of the frame image to be adjusted is automatically adjusted according to the target color temperature value, the purpose of correspondingly adjusting the white balance parameter of the currently played frame image contents in real time can be achieved, so that the sense of tableau of the image is more realistic, and the visual effect is enhanced.