Patent classifications
G06T3/4092
TESTING SYSTEM AND TESTING METHOD FOR IMAGE PROCESSING ALGORITHM
A testing system for an image processing algorithm including a control unit, an image processing device, an image processing hardware, and a testing device is disclosed. The control unit provides an original image and parameters. The image processing device obtains the original image and the parameters, and drives the image processing hardware to perform a first image processing procedure to the original image based on the parameters to generate a hardware-processed image. The testing device obtains the original image, the parameters, and the hardware-processed image, and performs, through a simulation software, a second image processing procedure to the original image based on the parameters to generate a software-processed image. The testing device compares the hardware-processed image with the software-processed image through a testing software to generate a comparing result that shows a pixel difference of the hardware-processed image and the software-processed image.
IMAGE SENSORS WITH VARIABLE RESOLUTION IMAGE FORMAT
A system is provided that is configured to encode an image in accordance with a variable resolution image format. The variable resolution image format allows the specification of a number of windows in terms of their location and resolution. The image can be decomposed into a minimum number of square superpixels such that all specified windows are at the assigned resolution or better. By encoding one image where only critical portions are at the high resolution while less critical portions are at intermediate or lower resolutions, the number of bits that need to be transmitted from the system to a remote host subsystem can be dramatically reduced.
Methods and systems for transmitting an image in chunks
Exemplary embodiments relate to techniques for improving the speed and rendering quality of an image (e.g., a JPEG), and are especially useful in an end-to-end encrypted environment. The image may be analyzed on the sending-client side and the image data is broken into multiple categories. In one embodiment, the image data is broken into four chunks, where each chunk could be rendered (in conjunction with previous chunks) to provide increasingly high levels of quality (e.g., a thumbnail chunk, a mid-quality chunk, a high-quality chunk, and a full-quality chunk). The image is uploaded to a blob store, and a message is sent to the receiving client with image information. At the recipient side, the JPEG image data is retrieved from the blob store and each chunk is rendered at progressively increasing levels of quality. Consequently, images are rendered faster, and the quality increases over time.
Neural Super-sampling for Real-time Rendering
In one embodiment, a method includes receiving a pair of stereo images having a resolution lower than a target resolution, generating an initial first feature map for a first image of the pair based on first channels associated with the first image and generating an initial second feature map for a second image of the pair based on second channels associated with the second image, generating a first feature map based on combining the first channels with the initial first feature map, generating a second feature map based on combining the second channels with the initial second feature map, up-sampling the first feature map and the second feature map to the target resolution, warping the up-sampled second feature map, and generating a reconstructed image corresponding to the first image having the target resolution based on the up-sampled first feature map and the up-sampled and warped second feature map.
VIDEO UPSAMPLING USING ONE OR MORE NEURAL NETWORKS
Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create a higher resolution video using upsampled frames from a lower resolution video.
VIDEO UPSAMPLING USING ONE OR MORE NEURAL NETWORKS
Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create a higher resolution video using upsampled frames from a lower resolution video.
Display device and image display method of the same
Provided is a method of displaying an image in a display device, the method including transmitting, to a content providing device, image request information requesting the content providing device to selectively transmit an image of a first resolution or an image of a second resolution; receiving the image of the first resolution or the image of the second resolution which is obtained by performing upscaling on the image of the first resolution using a first upscaler, based on the image request information; based on receiving the image of the first resolution, performing upscaling on the image of the first resolution using a second upscaler of the display device to obtain a upscaled image having the second resolution and displaying the upscaled image having the second resolution, upscaling capability of the second upscaler being different from upscaling capability of the first upscaler; and based on receiving the image of the second resolution, displaying the image of the second resolution.
SYSTEMS AND METHODS FOR PROVIDING CONTENT
Systems, methods, and non-transitory computer-readable media can determine a video being accessed from a content provider. A first viewing mode of a display screen of the computing device can be determined. A first content stream associated with the video can be accessed based at least in part on the first viewing mode of the display screen, wherein the first content stream is encoded for presentation of the video in the first viewing mode of the display screen.
System and method for displaying high quality images on controls based on display scaling
A graphical user interface (GUI) includes an image list associated with a display component of a display device. The image list has an index of logical images, where each of the logical images has a fixed pixel size. The GUI further includes an image container connected to the image list, where the image container comprises a plurality of different size versions of at least some of the logical images. The GUI further includes one or more control objects, where each of the control objects is configured to draw a corresponding image from the index of logical images of the image list. The GUI is configured to update the index of logical images of the image list with the different size versions sourced from the image container in response to a scale change of the display component.
Multi-stream foveal display transport
Systems, apparatuses, and methods for using a multi-stream foveal display transport layer are disclosed. A virtual reality (VR) system includes a transmitter sending a plurality of streams over a display transport layer to a receiver coupled to a display. Each stream corresponds to a different image to be blended together by the receiver. The images include at least a foveal region image corresponding to a gaze direction of the eye and a background image which is a lower-resolution image with a wider field of view than the foveal region image. The phase timing of the foveal region stream being sent over the transport layer is adjusted with respect to the background stream to correspond to the location of the foveal region within the overall image. This helps to reduce the amount of buffering needed at the receiver for blending the images together to create a final image to be driven to the display.