Abstract: Methods and apparatus for optical filtering. In one example, a device includes a spatial light modulator having a two-dimensional array of square, rectangular, or diamond pixels, and a controller coupled to the spatial light modulator. The controller can be configured to write image data representing an image to the spatial light modulator to control the spatial light modulator to display the image for a frame period, and during the frame period, spatially reposition the image on the array of pixels over a plurality of positions, each individual position of the plurality of positions being maintained for a respective time period, wherein the respective time period is selected according to one or more non-negative coefficients of an anti-aliasing filter transfer function.

Abstract: A system including at least one processor configured to determine a command pattern and a projector coupled to the at least one processor. The projector is configured to project an opening pattern, project the command pattern after projecting the opening pattern, and project a closing pattern after projecting the command pattern.

Abstract: A system, includes a controller configured to obtain, for an image frame stored in a frame memory image, data associated with a color component and generate dithered bit planes having a dither noise pattern, the dithered bit planes including time repeated bit plane sequences in the image frame. The system also includes a spatial light modulator (SLM) coupled to the controller. The SLM is configured to project an image of the image frame according to the dithered bit planes. Additionally, the system includes a light source optically coupled to the SLM. The light source is configured to provide light for projecting the image.

Abstract: A system includes a memory and a display. The system also includes a processor coupled to the memory and to the display. The processor is configured to obtain an image and determine a parent cluster of pixels of an image having a centroid. The processor is also configured to split the parent cluster into at least a first child cluster and a second child cluster and assign a pixel of the image to the first child cluster. Additionally, the pixel is configured to update a centroid of the first child cluster responsive to the pixel and replace the pixel in the image with the centroid of the first child cluster to produce a compressed image. Also, the processor is configured to store the compressed image in the memory, where the display is configured to display the compressed image.

Abstract: An apparatus includes: a processor; and memory coupled to or included with the processor. The memory stores instructions that, when executed, cause the processor to: obtain an image; perform color palette cluster analysis on the image based on an initial set of colors, luminance sorting, and a target number of palettes; produce a compressed set of color palette keys responsive to the color palette cluster analysis; and output a compressed image based on the compressed set of color palette keys.

Abstract: A device includes a memory and at least one processor coupled to the memory. The at least one processor is configured to obtain an image and determine a parent cluster of pixels of an image having a centroid. The at least one processor is also configured to split the parent cluster into at least a first child cluster and a second child cluster and assign a pixel of the image to the first child cluster. Additionally, the at least one processor is configured to update a centroid of the first child cluster based at least in part on the pixel, replace the pixel in the image with the centroid of the first child cluster to produce a compressed image, and store the compressed image in the memory.

Abstract: A system includes a spatial light modulator (SLM) and a circuit including a processor. The SLM includes pixel elements. The circuit is configured to convert M primary video signals to N multi-primary video signals. The circuit is configured to use a first multi-primary video signal to derive a first additive offset to a first primary video signal, to use the first multi-primary video signal to derive a second additive offset to a second primary video signal of the M primary video signals, to add the first additive offset to the first primary video signal, to add the second additive offset to the second primary video signal, and to derive a bit plane based on the first primary signal having the first additive offset added thereto and to transmit the bit plane to the SLM to selectively control on and off states of the pixel elements of the SLM.

Abstract: An example apparatus comprising: a controller configured to: access a content brightness map; determine an amplitude of a light emitting diode (LED) current based on the content brightness map, a target brightness, or a target color temperature; determine a pulse width modulation (PWM) sequence based on the content brightness map, the target brightness, or the target color temperature; determine an LED PWM signal based on the content brightness map, the target brightness, the target color temperature, or the amplitude of the LED current; transmit a signal indicating the LED current to an LED; transmit the PWM sequence to a spatial light modulator (SLM); and transmit the LED PWM signal to the LED.

Abstract: A system includes a controller configured to: obtain palette keys for an image; and for each of a plurality of sub-blocks of the image, obtain a compressed set of palette keys responsive to gradient analysis and entropy analysis. The system also includes a spatial light modulator coupled to the controller and configured to project an image responsive to the palette keys and the compressed set of palette keys.

Abstract: An example apparatus comprising: a controller configured to: access a content brightness map; determine an amplitude of a light emitting diode (LED) current based on the content brightness map, a target brightness, or a target color temperature; determine a pulse width modulation (PWM) sequence based on the content brightness map, the target brightness, or the target color temperature; determine an LED PWM signal based on the content brightness map, the target brightness, the target color temperature, or the amplitude of the LED current; transmit a signal indicating the LED current to an LED; transmit the PWM sequence to a spatial light modulator (SLM); and transmit the LED PWM signal to the LED.

Abstract: Methods, apparatus, systems, and articles of manufacture to generate 3D point clouds based on spatiotemporal light patterns are disclosed. A controller includes processor circuitry to execute the instructions to generate a series of light patterns based on a set of light pattern tiles. Each of the light pattern tiles is defined by a different arrangement of illuminated pixels. Each of the light patterns is defined by a different arrangement of the light pattern tiles. The processor circuitry is to instruct a projector to project the series of light patterns; instruct an image sensor to capture a series of images of reflections of the series of light patterns; and generate a three-dimensional point cloud based on the series of captured images.

Abstract: An example apparatus includes: a controller configured to: generate a pattern of points; obtain a first image of a first reflection of a projection of the pattern of points from a first camera; generate a first point cloud having a first coordinate system based on the first image; obtain a second image of a second reflection of the projection of the pattern of points from a second camera; generate a second point cloud having a second coordinate system based on the second image; determine a rigid body transform to convert coordinates of the second coordinate system to coordinates of the first coordinate system; apply the rigid body transform to the second point cloud to generate a transformed point cloud; and generate a corrected point cloud based on the transformed point cloud.

Abstract: A device includes a memory and at least one processor coupled to the memory. The at least one processor is configured to obtain an image and determine a parent cluster of pixels of an image having a centroid. The at least one processor is also configured to split the parent cluster into at least a first child cluster and a second child cluster and assign a pixel of the image to the first child cluster. Additionally, the at least one processor is configured to update a centroid of the first child cluster based at least in part on the pixel, replace the pixel in the image with the centroid of the first child cluster to produce a compressed image, and store the compressed image in the memory.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to warp images for video processing. An example device includes horizontal warper circuitry configured to access an input image, decimate a first set of pixels in the input image by row, and interpolate a second set of pixels in the input image by row to produce a horizontally warped image. The example device further includes vertical warper circuitry configured to access the horizontally warped image, decimate a first set of pixels in the horizontally warped image by column, and interpolate a second set of pixels in the horizontally warped image by column to produce an output image.

Abstract: An example apparatus comprising: a controller configured to: access a content brightness map; determine an amplitude of a light emitting diode (LED) current based on the content brightness map, a target brightness, or a target color temperature; determine a pulse width modulation (PWM) sequence based on the content brightness map, the target brightness, or the target color temperature; determine an LED PWM signal based on the content brightness map, the target brightness, the target color temperature, or the amplitude of the LED current; transmit a signal indicating the LED current to an LED; transmit the PWM sequence to a spatial light modulator (SLM); and transmit the LED PWM signal to the LED.

Abstract: An example apparatus includes: a controller configured to: generate a symbol pattern as a result of placing symbols based on epipolar lines; instruct an SLM to project the symbol pattern; obtain an image of a reflection of the symbol pattern; determine a first location of a symbol in the image; determine a second location of the symbol in the image; and determine a depth of the symbol as based on the first location, the second location, and an essential matrix.

Abstract: System and method for generating multiprimary signals with optimization for bit depth for use in display devices. A preferred embodiment comprises converting an input color signal into an output color signal, wherein the number of colors in the output color signal is less than a number of colors used in a display system, when a weighting of the input color signal is less than a specified threshold, and converting the input color signal into an output color signal, wherein the number of colors in the output color signal is equal to the number of colors used in the display system, when the weighting of the input color signal is greater than the specified threshold. The use of fewer colors eliminates low bit depth colors, allowing increased dither quality in dimmer images.

Abstract: A method of reducing ringing artifacts in image data that has been filtered with a high frequency emphasis filter. For each filtered data value, a local variance is calculated from data values at neighboring filter taps. This variance is compared to a threshold, and if the threshold is exceeded, the filtered data value is limited between local minimum and maximum values. A method of reducing noise, also using the local variance, is also described.

Abstract: A content-dependent scan rate converter with adaptive noise reduction that provides a highly integrated, implementation efficient de-interlacer. By identifying and using redundant information from the image (motion values and edge directions), this scan rate converter is able to perform the tasks of film-mode detection, motion-adaptive scan rate conversion, and content-dependent video noise reduction. Adaptive video noise reduction is incorporated in the process where temporal noise reduction is performed on the still parts of the image, thus preserving high detail spatial information, and data-adaptive spatial noise reduction is performed on the moving parts of the image. A low-pass filter is used in flat fields to smooth out Gaussian noise and a direction-dependent median filter is used in the presence of impulsive noise or an edge. Therefore, the selected spatial filter is optimized for the particular pixel that is being processed to maintain crisp edges.

Abstract: A content-dependent scan rate converter with adaptive noise reduction that provides a highly integrated, implementation efficient de-interlacer. By identifying and using redundant information from the image (motion values and edge directions), this scan rate converter is able to perform the tasks of film-mode detection, motion-adaptive scan rate conversion, and content-dependent video noise reduction. Adaptive video noise reduction is incorporated in the process where temporal noise reduction is performed on the still parts of the image, thus preserving high detail spatial information, and data-adaptive spatial noise reduction is performed on the moving parts of the image. A low-pass filter is used in flat fields to smooth out Gaussian noise and a direction-dependent median filter is used in the presence of impulsive noise or an edge. Therefore, the selected spatial filter is optimized for the particular pixel that is being processed to maintain crisp edges.