Abstract: In some examples, a method comprises receiving pixel data from an image capture device having a color filter, wherein the pixel data represents a portion of an image. The method further includes performing wavelet decomposition on the pixel data to produce decomposed pixel data and determining a local intensity of the pixel data. The method also includes determining a noise threshold value based on the local intensity and a noise intensity function that is based on the color filter; determining a noise value for the pixel data based on the decomposed pixel data and the noise threshold value; and correcting the pixel data based on the noise value to produce an output image.

Abstract: A method for error handling in a geometric correction engine (GCE) is provided that includes receiving configuration parameters by the GCE, generating, by the GCE in accordance with the configuration parameters, output blocks of an output frame based on corresponding blocks of an input frame, detecting, by the GCE, a run-time error during the generating, and reporting, by the GCE, an event corresponding to the run-time error.

Abstract: A de-blocking filter includes a reconstructed memory that is configured to store reconstructed pixels corresponding to a current macroblock of a video image to be filtered. The current macroblock includes a set of sub-blocks, each sub-block having horizontal edges and vertical edges. An internal pixel buffer in the de-blocking filter is configured to store pixels corresponding to the set of sub-blocks from the reconstructed memory, and to store partially filtered pixels corresponding to a set of partially filtered macroblocks. An edge order controller in the de-blocking filter is configured to load the pixels corresponding to the set of sub-blocks into a filter engine from the internal pixel buffer, to filter the set of sub-blocks, such that, at least one horizontal edge is filtered before filtering all vertical edges of the set of sub-blocks.

Abstract: Various disclosed embodiments relate to defective pixel detection and optimizing memory storage while carrying out defective pixel detection. An example, system for detecting defective pixels includes a memory to store threshold functions; and a defective pixel detector to apply, for each image pixel received, a select threshold function of the threshold functions to values of nearest-neighbor image pixels to obtain a threshold value; and determine, for each image pixel received, whether the image pixel is defective based on a comparison of a value of the image pixel to the threshold value. A statistics generator receives each image pixel that is determined to be defective; and determines a number of defective image pixels in a specified unit of image pixels and a location of each defective image pixel in the specified unit.

Abstract: A system is provided. The system generally includes a first processor configured to receive image input data from a red-green-blue infrared (RGBIR) sensor. The first processor of the system is configured to generate a first intermediate image data from the image input data. The system generally includes a second processor. The second processor of the system is configured to generate a second intermediate image data that includes red-green-blue (RGB) image data from the first intermediate image data, and to generate a third intermediate image data that includes infrared (IR) image data from the first intermediate image data. The system generally includes a third processor. The third processor of the system is configured to process the third intermediate image data. The system generally includes a fourth processor. The fourth processor of the system is configured to process the second image data.

Abstract: Systems and methods for servicing read requests may include receiving a transaction from a processing unit while mirroring contents from an external memory to an on-chip RAM. Such systems and methods may monitor a progress of the mirroring and, based on the monitoring, access code or data values for the transaction from either the external memory or the on-chip RAM. Such systems and methods may further provide the code or data values to the processing unit according to the transaction. Such systems and methods may allow for execution of software before software has been fully downloaded to internal memory.

Abstract: Systems and methods for updating firmware may include using wait states to reduce or eliminate polling by an executing firmware component. An example includes dedicated firmware update hardware logic components, including a firmware update processing unit that executes firmware update code. The firmware update code may be paused between request of a hardware event and completion of a hardware event and under control of one or more of the hardware logic components. Once a hardware event has been completed, a hardware logic component may determine completion and, in response, restart execution of the firmware update code.

Abstract: Various examples disclosed herein relate to controlling access to non-volatile memory devices. In an example embodiment, a device is provided. The device includes a memory security controller configured to operate in a first functional safety mode or a second functional safety mode, a security mode selection controller coupled to the memory security controller, and a memory interface controller coupled to the memory security controller and the security mode selection controller and configured to couple to a non-volatile memory. The security mode selection controller is configured to determine a number of pending access requests associated with the memory security controller, determine a number of incoming responses from the non-volatile memory to the memory security controller, and select between the first functional safety mode and the second functional safety mode based on at least one of the number of pending access requests or the number of incoming responses.

Abstract: A source node from the cluster of nodes, responsive to receiving the file sharing command from other applications on the same node (e.g., on a virtual machine in the cluster of nodes), copies the shared file to a source workspace directory and compress, and then copy the compressed file to the file sync database. The command comprises a configuration template with file retrieval information. A target node from the cluster of nodes, listens for commands from other nodes in the cluster of nodes. Responsive to receiving the file sharing command, the compressed file is copied from the file sync database to a target workspace directory and decompress, and then copy the shared file to node.

Abstract: A de-blocking filter includes a reconstructed memory that is configured to store reconstructed pixels corresponding to a current macroblock of a video image to be filtered. The current macroblock includes a set of sub-blocks, each sub-block having horizontal edges and vertical edges. An internal pixel buffer in the de-blocking filter is configured to store pixels corresponding to the set of sub-blocks from the reconstructed memory, and to store partially filtered pixels corresponding to a set of partially filtered macroblocks. An edge order controller in the de-blocking filter is configured to load the pixels corresponding to the set of sub-blocks into a filter engine from the internal pixel buffer, to filter the set of sub-blocks, such that, at least one horizontal edge is filtered before filtering all vertical edges of the set of sub-blocks.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement thread scheduling for multithreaded data processing environments are disclosed. Example thread schedulers disclosed herein for a data processing system include a buffer manager to determine availability of respective buffers to be acquired for respective processing threads implementing respective functional nodes of a processing flow, and to identify first ones of the processing threads as stalled due to unavailability of at least one buffer in the respective buffers to be acquired for the first ones of the processing threads. Disclosed example thread schedulers also include a thread execution manager to initiate execution of second ones of the processing threads that are not identified as stalled.

Abstract: In an example, a method includes receiving image data of an input image having lines therein. The method also includes storing a first portion of the image data in a circular buffer in a first memory, wherein the first portion begins at a circular buffer start line in the input image and ends at a circular buffer end line in the input image. The method includes storing a second portion of the image data in a linear buffer in a second memory, where the second portion is non-overlapping with the first portion. The method includes processing the second portion of the image data to produce a first block of an output image. The method includes processing the first portion of the image data to produce a second block of the output image.

Abstract: In an advanced driver-assistance system (ADAS), RAW sensor image processing for a machine vision (MV) application is important. Due to different color, e.g., red/green/blue (RGB), color components, being focused by the lens at different locations in image plane, the lateral chromatic aberration phenomenon may sometimes be observed, which causes false color around edges in the final image output, especially for high contrast edges, which can impede MV applications. Disclosed herein are low-latency, efficient, optimized designs for chromatic aberration correction (CAC) components.

Abstract: Various embodiments disclosed herein relate to defective pixel detection and correction, and more specifically to using threshold functions based on color channels to compare pixel values to threshold values. A method is provided herein that comprises identifying a color channel of an image pixel in a frame and identifying a threshold function based at least on the color channel. The method further comprises applying the threshold function to one or more nearest-neighbor values to obtain a threshold value and determining whether a corresponding sensor pixel is defective based at least on a comparison of the image pixel to the threshold value.

Abstract: A method for error handling in a geometric correction engine (GCE) is provided that includes receiving configuration parameters by the GCE, generating, by the GCE in accordance with the configuration parameters, output blocks of an output frame based on corresponding blocks of an input frame, detecting, by the GCE, a run-time error during the generating, and reporting, by the GCE, an event corresponding to the run-time error.

Abstract: Techniques for image processing including receiving input image data, wherein the input image data includes data associated with a clear color channel, receiving a color offset value associated with a color channel, wherein color values for the color channel are not provided in the input image data, based on the color offset value, generating intermediate estimated color values for the color channel, wherein generating the intermediate estimated color values includes: clipping color values that have a magnitude greater than the color offset value, and adjusting color values that have a magnitude less than the color offset value based on the color offset value, applying a color correction function to the intermediate estimated color values based on the color offset value to determine color corrected estimated color values, and outputting the color corrected estimated color values.

Abstract: A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

Abstract: Local automatic white balance (AWB) of wide dynamic range (WDR) images is provided. Methods and systems include collecting, by an image signal processor (ISP), statistics for local AWB from at least one wide dynamic range (WDR) image received by the ISP; generating, by a processor, based on the statistics, local gain lookup tables (LUTs), one for each color channel represented in the WDR image(s), each local gain LUT providing a correlation between gain and intensity; and storing the local gain LUTs. Further processing includes, for each of multiple pixels of a WDR image to be output calculating an intensity value, accessing the local gain LUT for the color channel corresponding to that pixel using the calculated intensity value to identify a corresponding local gain value, and applying the local gain value to that pixel.

Abstract: In described examples, an integrated circuit includes first, second, third, and fourth image processing blocks, a data selection circuitry, and a pipeline memory. An input of the first image processing block receives raw image data. An input of the second image processing block is coupled to an output of the first image processing block. An input of the third image processing block is coupled to an output of the second image processing block. A first input of the data selection circuitry is coupled to an output of the first image processing block, and a second input of the data selection circuitry is coupled to an output of the second image processing block. A data input of the pipeline memory is coupled to an output of the data selection circuitry, and an output of the pipeline memory is coupled to an input of the fourth image processing block.

Abstract: A system to implement debugging for a multi-threaded processor is provided. The system includes a hardware thread scheduler configured to schedule processing of data, and a plurality of schedulers, each configured to schedule a given pipeline for processing instructions. The system further includes a debug control configured to control at least one of the plurality of schedulers to halt, step, or resume the given pipeline of the at least one of the plurality of schedulers for the data to enable debugging thereof. The system further includes a plurality of hardware accelerators configured to implement a series of tasks in accordance with a schedule provided by a respective scheduler in accordance with a command from the debug control. Each of the plurality of hardware accelerators is coupled to at least one of the plurality of schedulers to execute the instructions for the given pipeline and to a shared memory.