Apple Inc.

Lsi Corporation

Maxim Integrated Products, Inc.

Lsi Logic Corporation

Geo Semiconductor Inc.

Cisco Systems Canada Co.

Guy Cote

Lowell Leroy Winger

Jim Chen Chou

Joseph P Bratt

Suk Hwan Lim

Alexandros Michael Tourapis

D Amnon Silverstein

Jeffrey E Frederiksen

Timothy John Millet

Joseph J Cheng

Mahesh B Chappalli

Haitao Guo

Sheng Lin

Christopher P Tann

Chaohao Wang

Paolo Sacchetto

Brijesh Tripathi

Hao Pan

Simon Wolfenden Butler

Simon Booth

Elliot N Linzer

Garrett M Johnson

Arthur L Spence

Mark P Rygh

José Roberto Alvarez

Pavel Novotny

Joseph Anthony Petolino, Jr

James Edmund Orr, Iv

Peter F Holland

Marc Albrecht

Sheng Zhang

Sandro Hermann Pintz

Michael D Gallant

Aaron G Wells

Yunwei Jia

Craig M Okruhlica

Weichun Ku

Jerrold Von Hauck

David William Singer

Ian C Hendry

David S Zalatimo

Vanessa Cristina Heppolette

Hao Nan

Steven David Hordley

Ross Thompson

Christopher Philip Alan Tann

Paul Stephen Drzaic

Avi Bar-Zeev

Jean-Pierre Simon Guillou

Mark Zimmer

Arthur Yasheng Zhang

Geoffrey Grant Stahl

Gurjeet S Saund

Ray Ling Chang

Graham D Finlayson

Timothy Robert Oriol

Tobias Eble

Kenneth I Greenebaum

Yifan Zhang

Justin A Hensley

Anthony Peter Joch

Tae-Wook Koh

Ling Su

Joshua P De Cesare

Sumit Chawla

Ali Sazegari

Sorin Constantin Cismas

Gokhan Avkarogullari

Koorosh Aflatooni

Rui Zhang

Yingying Tang

Ilie Garbacea

Marc A Schaub

Huipin Zhang

Yunhui Hou

Venu Madhav Duggineni

Shun Wai Go

Nitin Bhargava

Haiyan He

Jungsun Kim

Hsi-Jung Wu

Yeping Su

Ralph T Brunner

Athanasios Leontaris

Khaled Mammou

Brett C Bilbrey

Paul M Hubel

Fabrice A Robinet

Steven E Saunders

Hao Chen

David Hayward

Krasimir D Kolarov

David W Lum

Xiaojin Shi

Vaughn Todd Arnold

Jose Roberto Alvarez

Yun Gong

David Daming Kuo

David Cameron Dolson

Lars M Lindberg

Compression techniques are described. In an embodiment, a first plane of sensor data is accessed, the first plane of sensor data is divided into a plurality of slices, each sample is encoded in each slice from the plurality of slices, where encoding a sample include computing a median based prediction for the sample, computing an error for the sample comprising a difference between the sample and the computed median based prediction, determining a context for the sample, selecting a model for the sample by using the determined context, and encoding the computed error by using the selected model.

Lossless compression techniques

Systems and methods for down-scaling are provided. In one example, a method for processing image data includes determining a plurality of output pixel locations using a position value stored by a position register, using the current position value to select a center input pixel from the image data and selecting an index value, selecting a set of input pixels adjacent to the center input pixel, selecting a set of filtering coefficients from a filter coefficient lookup table using the index value, filtering the set of source input pixels to apply a respective one of the set of filtering coefficients to each of the set of source input pixels to determine an output value for the current output pixel at the current position value, and correcting chromatic aberrations in the set of source input pixels.

Raw scaler with chromatic aberration correction

The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

Systems and methods for reducing fixed pattern noise in image data

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.

Video pipeline

A device may include an electronic display to display an image frame based on blended image data and image processing circuitry to generate the blended image data by combining first image data and second image data via a blend operation. The blend operation may include receiving graphics alpha data indicative of a transparency factor to be applied to the first image data to generate a first layer of the blend operation. The blend operation may also include overlaying the first layer onto a second layer that is based on the second image data. Overlaying the first layer onto the second layer may include adding first pixels values of the first image data that include negative pixel values and are augmented by the transparency factor to second pixel values of the second image data to generate blended pixel values of the blended image data.

Image blending modes systems and methods

A method of signaling additional chroma QP offset values that are specific to quantization groups is provided, in which each quantization group explicitly specifies its own set of chroma QP offset values. Alternatively, a table of possible sets of chroma QP offset values is specified in the header area of the picture, and each quantization group uses an index to select an entry from the table for determining its own set of chroma QP offset values. The quantization group specific chroma QP offset values are then used to determine the chroma QP values for blocks within the quantization group in addition to chroma QP offset values already specified for higher levels of the video coding hierarchy.

Chroma quantization in video coding

The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels.

Systems and method for reducing fixed pattern noise in image data

Support for additional components may be specified in a coding scheme for image data. A layer of a coding scheme that specifies color components may also specify additional components. Characteristics of the components may be specified in the same layer or a different layer of the coding scheme. An encoder or decoder may identify the specified components and determine the respective characteristics to perform encoding and decoding of image data.

Extending supported components for encoding image data

Systems, apparatuses, and methods for implementing a timestamp based display update mechanism. A display control unit includes a timestamp queue for storing timestamps, wherein each timestamp indicates when a corresponding frame configuration set should be fetched from memory. At pre-defined intervals, the display control unit may compare the timestamp of the topmost entry of the timestamp queue to a global timer value. If the timestamp is earlier than the global timer value, the display control unit may pop the timestamp entry and fetch the frame next configuration set from memory. The display control unit may then apply the updates of the frame configuration set to its pixel processing elements. After applying the updates, the display control unit may fetch and process the source pixel data and then drive the pixels of the next frame to the display.

Timestamp based display update mechanism

Growing community of inventors

San Jose, CA, United States of America

Guy Cote