Arm Limited

Apical Limited

Metin Gokhan Ünal

Damian Piotr Modrzyk

Alex Kornienko

Balaji Venu

Samuel Martin

Vladimir Dolzhenko

John Wakefield Brothers

Ian Rudolf Bratt

Giacomo Gabrielli

Alexander Eugene Chalfin

Paul Stanley Hughes

Rune Holm

Kushan Vijaykumar Vyas

Eric Kunze

Jonathan Adam Lawton

Lloyd Allen

Robert Shorter

Mario Jose David Manzano

Dantong Liu

A processor, method, and non-transitory computer-readable storage medium for performing a block matching between first data and second data are provided. The block matching is performed using an iterative process, wherein, for each iteration, a portion of the first data and a corresponding portion of the second data is selected using a sliding window approach. When differences data, used for block matching, is calculated for a specific subset of first and second data, many of the calculations overlap with those needed for a nearby subset. Summed area table, SAT, data used for determining the difference data is continuously stored and updated in a buffer, such that overlapping computations can be avoided.

Block matching between first data and second data

Provided is a data stream processor comprising a streamed data transceiver interface, a structure of processing units configurable to transform data received from a data source over the streamed data transceiver interface according to a specified output requirement, and a configuration unit operable in electronic communication with a data consumer to receive an output requirement and to configure the operation and linkage of a processing unit in the structure of processing units to transform input data to output data according to the specified output requirement; wherein the structure of processing units is further operable to provide the output data for output over the streamed data transceiver interface.

Data stream processor

In a data processing system, when displaying a foveated image, a producer processing unit generates plural different resolution versions of the frame to be displayed. A display processor then generates a view orientation transformed output version of the frame to be displayed using data from the plural different resolution versions of the frame to be displayed generated by the producer processing unit based on data indicative of which resolution version of the frame is to be used for respective regions of the view orientation transformed output version of the frame to be displayed provided to the display processor.

Data processing systems

A display controllerin a data processing system includes a timewarp module (transformation circuitry)that is operable to perform timewarp processing of a rendered framegenerated by a graphics processor (GPU)for provision to a display panel. The timewarp module (transformation circuitry)operates to transform an input surfaceread by the display controllerbased on received view orientation data to provide an appropriately 'timewarped' transformed version of the input surface as an output transformed surface for display on the display

A method comprising, in an image processing operation, identifying location data indicative of a read path for the image processing operation, the read path at least partly traversing a block of pixels of an image. Parameter data relating to a characteristic of the read path in the context of the block is generated from the location. Storage prioritization data is associated with the block at least partly on the basis of the parameter data. The storage prioritization data is for determining whether block data representative of the block is to be evicted from storage.

Eviction prioritization for image processing

When displaying a frame that is to be transformed based on a predicted view orientation, the frame is transformed based on a predicted view orientation by, for each of plural different regions of the frame, determining a predicted view orientation transformation matrix to use to transform the region of the frame by interpolating between a first predicted view orientation matrix that corresponds to a transformation for a predicted view orientation for a first time during the display of the frame and a second predicted view orientation matrix that corresponds to a predicted view orientation for a second, later time during the display of the frame; and then using the interpolated predicted view orientation transformation matrix determined for the region of the frame to transform the region of the frame. In this way each different region of the frame is subjected to a different predicted view orientation transformation.

A method including receiving input data representing an input frame of a video. Transformation data representing at least one transformation for applying to an image to adjust a geometric distortion of the image is received. A first and second plurality of input tiles, each including a respective portion of the input frame, is processed with at least part of the transformation data, thereby generating first and second sub-window data representing a first and second sub-window of an output frame of the video, respectively.

Image processing including geometric distortion adjustment

A storage system comprising storage including a plurality of storage banks and a storage controller to control writing of received pixel data to the storage banks in a distribution pattern. The distribution pattern includes pattern sections, each of which corresponds to pixels from a row of input pixels, and pattern blocks, each of which corresponds to pixels from a plurality of adjacent rows and columns of the input pixels. Pixel data in a pattern section and a pattern block are each written to different ones of the storage banks. The pattern section includes a first section part, which overlaps the pattern block and a second section part, which does not overlap the pattern block. Pixel data of the first section part is written to a first set of storage banks and pixel data of the second section part is written to a second, different, set of storage banks.

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Gamston, United Kingdom

Metin Gokhan Ünal