Abstract:
A method for aligning optical layers of a multi-layer display includes displaying a dark screen image on each of a plurality of transmissive pixel arrays separated from each other by spacing regions. The transmissive pixel arrays are disposed on a display layer of the multi-layer display. The display layer is illuminated with a plurality of illumination sources of an illumination layer disposed behind the display layer. Each of the illumination sources corresponds to one of the transmissive pixel arrays to illuminate the corresponding one of the transmissive pixel arrays. An illumination pattern is cast onto a screen layer disposed in front of the display layer. The illumination pattern includes bright regions due to overlapping illumination cast from adjacent ones of the transmissive pixel arrays. The bright regions of the illumination pattern cast onto the screen layer are analyzed to identify misalignments between the display layer and the illumination layer.
Abstract:
A method for aligning optical layers of a multi-layer display includes illuminating a display layer with a plurality of illumination sources of an illumination layer disposed behind the display layer. The display layer includes a plurality of transmissive pixel arrays. An illumination pattern is cast onto a screen layer disposed in front of the display layer. The illumination pattern includes bright regions due to overlapping illumination cast from adjacent ones of the transmissive pixel arrays. The bright regions of the illumination pattern cast onto the screen layer are analyzed to identify misalignments.
Abstract:
The present disclosure provides example methods operable by computing device. An example method can include receiving an image from a camera. The method can also include comparing one or more parameters of the image with one or more control parameters, where the one or more control parameters comprise information indicative of an image from a substantially unobstructed camera. Based on the comparison, the method can also include determining a score between the one or more parameters of the image and the one or more control parameters. The method can also include accumulating, by a computing device, a count of a number of times the determined score image exceeds a first threshold. Based on the count exceeding a second threshold, the method can also include determining that the camera is at least partially obstructed.
Abstract:
A method for encoding a video signal using a computing device, the video signal having a plurality of frames, each frame having a plurality of blocks, and each block having a plurality of pixels. The method includes generating a residual block from an original block of a current frame and a prediction block, degrading the residual block to decrease a bit-cost for encoding the residual block, and encoding the residual block into an encoded residual block.
Abstract:
A method for aligning optical layers of a multi-layer display includes displaying a dark screen image on each of a plurality of transmissive pixel arrays separated from each other by spacing regions. The transmissive pixel arrays are disposed on a display layer of the multi-layer display. The display layer is illuminated with a plurality of illumination sources of an illumination layer disposed behind the display layer. Each of the illumination sources corresponds to one of the transmissive pixel arrays to illuminate the corresponding one of the transmissive pixel arrays. An illumination pattern is cast onto a screen layer disposed in front of the display layer. The illumination pattern includes bright regions due to overlapping illumination cast from adjacent ones of the transmissive pixel arrays. The bright regions of the illumination pattern cast onto the screen layer are analyzed to identify misalignments between the display layer and the illumination layer.
Abstract:
Methods and apparatus to reduce compression artifacts in images are disclosed herein. An example method includes separating at least a portion of an image into a first component and a second component, reducing a first artifact in the first component to form a first cleaned component, reducing, using the first cleaned component, a second artifact in the second component to form a second cleaned component, and combining the first cleaned component and the second cleaned component to form a cleaned image.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for upscaling an image. One of the methods includes upscaling a low resolution image, creating first pixel subsets of the first upscaled image, creating second pixel subsets of a high resolution image, determining, for each subset in the pixel subsets, a value of a property of the pixel subset, determining, for each subset in the pixel subsets, a group of subsets to which the corresponding pixel subset belongs using the value of the property, and determining, for each of the groups of subsets, a filter to apply to each of the first pixel subsets that correspond to the pixel subsets in the group to create a final pixel subset that approximates the corresponding second pixel subset using the first pixel subset, a combination of all of the final pixel subsets representing a second upscaled image.
Abstract:
Techniques and mechanisms for determining misalignment of one or more tileable display panels. In an embodiment, a plurality of images are processed to create a super-resolution image of the one or more tileable display panels. The super-resolution image may be processed to recognize one or more features indicating misalignment in a reference image displayed by the one or more tileable display panels. In another embodiment, the one or more features are evaluated based on fiducial data to generate a signal indicating an adjustment to be made to a first tileable display panel.
Abstract:
The present disclosure provides example methods operable by computing device. An example method can include receiving an image from a camera. The method can also include comparing one or more parameters of the image with one or more control parameters, where the one or more control parameters comprise information indicative of an image from a substantially unobstructed camera. Based on the comparison, the method can also include determining a score between the one or more parameters of the image and the one or more control parameters. The method can also include accumulating, by a computing device, a count of a number of times the determined score image exceeds a first threshold. Based on the count exceeding a second threshold, the method can also include determining that the camera is at least partially obstructed.