Abstract: An electronic device may include an electronic display to display an image based on processed image data. The electronic device may also include image processing circuitry to generate the processed image data. The image processing circuitry may receive input image data corresponding to an image in a first perspective and warp the input image data from the first perspective to a second perspective, generating warped image data. Additionally, the image processing circuitry may determine one or more occluded regions in the second perspective and determine fill-data corresponding to the occluded regions. The processed image data may be generated by combining the warped image data and the fill-data.

Abstract: A video encoding system in which pixel data is decomposed into frequency bands prior to encoding. The frequency bands are organized into blocks that are provided to a block-based encoder that encodes the blocks and passes the encoded blocks to a wireless interface that packetizes the blocks for transmittal over a wireless connection. The encoder may categorize the encoded frequency bands into multiple priority levels, and may tag each frequency block with metadata indicating the frequency band represented in the block, the priority of the frequency band, and timing information. The wireless interface may then transmit or drop packets according to the priority levels of the encoded frequency blocks in the packets and/or according to the timing information of the frequency blocks in the packets.

Abstract: In one implementation, a method of encoding an image is performed at a device including one or more processors and non-transitory memory. The method includes determining a category of a spatial portion of an image based on a relation between a plurality of thresholds associated with a plurality of quantization scaling parameters and a bit rate of the spatial portion of the image at the plurality of quantization scaling parameters. The method includes quantizing the spatial portion of the image based on the categorization.

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: A video encoding system in which pixel data is decomposed into frequency bands prior to encoding. The frequency bands for a slice of a frame may be buffered so that complexity statistics may be calculated across the frequency bands prior to encoding. The statistics may then be used by a rate control component in determining quantization parameters for the frequency bands for modulating the rate in the encoder for the current slice. The quantization parameters for the frequency bands may be calculated jointly to optimize the quality of the displayed frames after decoder reconstruction and wavelet synthesis on a receiving device. Information about one or more previously processed frames may be used in combination with the statistics for a current slice in determining the quantization parameters for the current slice.

Abstract: An electronic device includes a display panel and image processing circuitry. The image processing circuitry receives input image data corresponding to an image to display on the display panel, modifies the input image data by executing a first context task (e.g., lower priority task), and receives a context switch request. The image processing circuitry also pauses modification of the input image data by pausing execution of the first context task and then switches to modifying the input image data by executing a second context task (e.g., higher priority task).

Abstract: In one implementation, a method of encoding an image is performed at a device including one or more processors and non-transitory memory. The method includes receiving a first image comprising a plurality of pixels having a respective plurality of pixel locations and a respective plurality of pixel values. The method includes applying a frequency transform to a first spatial portion of the first image to generate a plurality of first frequency coefficients respectively associated with a plurality of spatial frequencies and applying the frequency transform to a second spatial portion of the first image to generate a plurality of second frequency coefficients respectively associated with the plurality of spatial frequencies.

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: An electronic device includes a display panel and image processing circuitry. The image processing circuitry receives input image data corresponding to an image to display on the display panel, modifies the input image data by executing a first context task (e.g., lower priority task), and receives a context switch request. The image processing circuitry also pauses modification of the input image data by pausing execution of the first context task and then switches to modifying the input image data by executing a second context task (e.g., higher priority task).

Abstract: An electronic device may include angle detection circuitry to receive input image data including a channel of pixel data and determine pixel statistics based on a difference between a first pixel cluster and a second pixel cluster, and the second pixel cluster is offset from the first pixel cluster at a first angle. The pixel statistics may also be based on a difference between the first pixel cluster and a third pixel cluster, wherein the third pixel cluster is offset from the first pixel cluster a second angle, different from the first angle. The angle detection circuitry may also determine a best angle based on the differences, wherein the best angle approximates an angle of uniformity in content of the image. Image processing circuitry may then modify the input image data based on the best angle by modifying pixel values of the channel of pixel data.

Abstract: Compounds and methods are provided for the treatment of neurological or mitochondrial diseases, including epilepsy. In some embodiments, the compounds are substituted 1,4-naphthoquinones.

Abstract: In an embodiment, a method (of manufacturing fins for a semiconductor device) includes: forming a first layer (on a semiconductor substrate) that has first spacers and etch stop layer (ESL) portions which are interspersed; forming second spacers on central regions of the first spacers and the ESL portions; removing exposed regions of the first spacers and the ESL portions and corresponding underlying portions of the semiconductor substrate; removing the second spacers resulting in corresponding first capped semiconductor fins and second capped semiconductor fins that are organized into first and second sets; each member of the first set having a first cap with a first etch sensitivity; and each member of the second set having a second cap with a different second etch sensitivity; and eliminating selected ones of the first capped semiconductor fins and selected ones of the second capped semiconductor fins.

Abstract: An electronic device includes a display panel and image processing circuitry. The image processing circuitry receives input image data corresponding to an image to display on the display panel, modifies the input image data by executing a first context task (e.g., lower priority task), and receives a context switch request. The image processing circuitry also pauses modification of the input image data by pausing execution of the first context task and then switches to modifying the input image data by executing a second context task (e.g., higher priority task).

Abstract: Systems and methods for improving determination of encoded image data using a video encoding pipeline, which includes a first transcode engine that entropy encodes a first portion of a bin stream to determine a first bit stream including first encoded image data that indicates a first coding group row and that determines first characteristic data corresponding to the first bit stream to facilitate communicating a combined bit stream; and a second transcode engine that entropy encodes a second portion of the bin stream to determine a second bit stream including second encoded image data that indicates a second coding group row while the first transcode engine entropy encodes the first portion of the bin stream and that determines second characteristic data corresponding to the second bit stream to facilitate communicating the combined bit stream, which includes the first bit stream and the second bit stream, to a decoding device.

Abstract: In various implementations, a method includes obtaining a first frame that is characterized by a first resolution associated with a first memory allocation. In some implementations, the method includes down-converting the first frame from the first resolution to a second resolution that is lower than the first resolution initially defining the first frame in order to produce a reference frame. In some implementations, the second resolution is associated with a second memory allocation that is less than a target memory allocation derived from the first memory allocation. In some implementations, the method includes storing the reference frame in a non-transitory memory. In some implementations, the method includes obtaining a second frame that is characterized by the first resolution. In some implementations, the method includes performing an error correction operation on the second frame based on the reference frame stored in the non-transitory memory.

Abstract: A method includes obtaining an image via an image sensor. The method includes determining a first perceptual quality value that is associated with a first portion of the image. The method includes determining a first image perceptual quality warping function that is based on the first perceptual quality value and an image warping map. The first image perceptual quality warping function is characterized by a first warping granularity level that is a function of the first perceptual quality value. The method includes warping the first portion of the image according to the first image perceptual quality warping function.

Abstract: Methods and systems include neural network-based image processing and blending circuitry to blend an output of the neural network to compensate for potential artifacts from the neural network-based image processing. The neural network(s) apply image processing to image data using one or more neural networks as processed data. Enhance circuitry enhances the image data in a scaling circuitry to generate enhanced data. Blending circuitry receives the processed image data and the enhanced data along with an image plane of the processed data. The blending circuitry also determines whether the image processing using the one or more neural networks has applied a change to the image data greater than a threshold amount. The blending circuitry then, based at least in part in response to the change being greater than the threshold amount and/or edge information of the image data, blends the processed data with the enhanced data.

Abstract: A semiconductor device including fins arranged so that: in a situation in which any given first one of the fins (first given fin) is immediately adjacent any given second one of the fins (second given fin), and subject to fabrication tolerance, there is a minimum gap, Gmin, between the first and second given fins; and the first and second given fins a minimum pitch, Pmin, that falls in a range as follows: (Gmin+(?90%)*T1)?Pmin?(Gmin+(?110%)*T1).

Abstract: A mixed reality system that includes a device and a base station that communicate via a wireless connection The device may include sensors that collect information about the user's environment and about the user. The information collected by the sensors may be transmitted to the base station via the wireless connection. The base station renders frames or slices based at least in part on the sensor information received from the device, encodes the frames or slices, and transmits the compressed frames or slices to the device for decoding and display. The base station may provide more computing power than conventional stand-alone systems, and the wireless connection does not tether the device to the base station as in conventional tethered systems. The system may implement methods and apparatus to maintain a target frame rate through the wireless link and to minimize latency in frame rendering, transmittal, and display.

Abstract: An electronic device may include scaling circuitry to scale input pixel data to a greater resolution. The directional scaling circuitry may include first interpolation circuitry to receive best mode data, including one or more angles corresponding to content of the image and interpolate first pixel values at first pixel positions diagonally offset from input pixel positions of the input pixel data based on the best mode data and input pixel values corresponding to the input pixel positions. The directional scaling circuitry may also include second interpolation circuitry to receive the best mode data and the input pixel values and interpolate second pixel values at second pixel positions horizontally or vertically offset from the input pixel positions based at least in part on the best mode data and the input pixel values.