Abstract: A test and measurement device includes a graphical display that may act as an adjunct to a CIE chromaticity diagram 100 when analyzing color images. The graphical display shows indications of excursions of pixel color that are outside the boundary of a selected gamut. The graphic display may show the indications of excursions relative to one or more reference points.

Abstract: A test and measurement device is described that has an input for receiving a selected image, a display output, and one or more processors configured to receive a maximum and minimum luminance value related to the selected image, and generate a chromaticity diagram of the image on the display output for only those pixels in the selected image that have luminance values between the maximum and minimum luminance values. The device may also generate a modified image from the selected image in which pixels from the selected image that fall within the maximum and minimum luminance value are reproduced in the modified image without modification and other pixels not within the maximum and minimum luminance value are modified. Methods are also described.

Abstract: A test and measurement device includes a graphical display that may act as an adjunct to a CIE chromaticity diagram 100 when analyzing color images. The graphical display shows indications of excursions of pixel color that are outside the boundary of a selected gamut. The graphic display may show the indications of excursions relative to one or more reference points.

Abstract: A test and measurement device is described that has an input for receiving a selected image, a display output, and one or more processors configured to receive a maximum and minimum luminance value related to the selected image, and generate a chromaticity diagram of the image on the display output for only those pixels in the selected image that have luminance values between the maximum and minimum luminance values. The device may also generate a modified image from the selected image in which pixels from the selected image that fall within the maximum and minimum luminance value are reproduced in the modified image without modification and other pixels not within the maximum and minimum luminance value are modified. Methods are also described.

Abstract: A test and measurement instrument may include a video test and measurement system that delineates or otherwise indicates various components of an electronic image to enable a user to discern the various components that make up a picture display. The device may delineate an image into those regions having High Dynamic Range (HDR) region and those regions having SDR range. The delineated display mode may be a new mode on a video waveform monitor.

Abstract: A system for displaying information including a central processing unit, the central processing unit receiving real-time image data consisting of at least one of waveform and picture data, and web input data and producing a first graphics layer of web data, a second graphics layer of graticule data, and a third graphics layer of real-time data, a memory connected to the central processing unit to store the first, second and third graphics layers, a graphics processor to retrieve the first, second and third graphics layers from the memory and to generate a display window, and a display device to display the display window.

Abstract: Described are systems and methods of estimating a Signal-to-Noise (S/N) ratio of an input channel carrying a QAM signal. A Modulation Error Ratio (MER) is calculated for the input QAM signal, but uses only the centermost error values of a constellation of the input QAM signal in generating this modified MER. The modified MER accurately represents the S/N ratio of the input channel carrying the QAM signal. In this way the S/N ratio may be accurately determined using only the received I and Q components of the modulated QAM input signal itself.

Abstract: Embodiments of the present invention provide a “disparity cursor” for easily measuring disparity within a selected region of a 3D image under test. In operation, a user places a window that defines the disparity cursor over a selected region of the 3D image under test using a mouse, keyboard, or other user-interface device. An average disparity value for the image segments contained within the window is then automatically calculated and reported to the user.

Abstract: Described are systems and methods of estimating a Signal-to-Noise (S/N) ratio of an input channel carrying a QAM signal. A Modulation Error Ratio (MER) is calculated for the input QAM signal, but uses only the centermost error values of a constellation of the input QAM signal in generating this modified MER. The modified MER accurately represents the S/N ratio of the input channel carrying the QAM signal. In this way the S/N ratio may be accurately determined using only the received I and Q components of the modulated QAM input signal itself.

Abstract: Embodiments of the present invention provide a “disparity cursor” for easily measuring disparity within a selected region of a 3D image under test. In operation, a user places a window that defines the disparity cursor over a selected region of the 3D image under test using a mouse, keyboard, or other user-interface device. An average disparity value for the image segments contained within the window is then automatically calculated and reported to the user.

Abstract: Embodiments of the present invention provide various displays for easy visualization of disparity data. Some embodiments provide a “snapshot” display having a plurality of markers, each marker representing a disparity statistic of a horizontal or vertical segment of a 3D image under test. Other embodiments provide a “trend” display having a plurality of markers, each marker representing a disparity statistic, or a rate of change of a disparity statistic, calculated over a single frame or field of a 3D video under test on a frame-by-frame basis. The disparity statistic may be maximum disparity, minimum disparity, mean disparity, RMS disparity, or the like.

Abstract: Adaptive noise filtering is applied to an image frame of HSI data to reduce and more uniformly distribute noise while preserving image feature edges. An adaptive spatial filter includes a plurality of averaging kernels. An appropriate kernel is selected for each pixel for each of the hue and saturation components. A set of thresholds are defined for selecting the kernel for the hue component. Another set of thresholds are defined for selecting the kernel for the saturation component. The kernel for the saturation component is selected by comparing the intensity component to the saturation component thresholds. The kernel for the hue component is selected by comparing the product of intensity component and the saturation component to the hue component thresholds. A color gradient operation is applied to the filtered HSI data to aid in detecting image object boundaries. Object segmentation and other image processing techniques may be performed on the filtered HSI data.