Pixelworks, Inc.

Pixelworks Semiconductor Technology (shanghai) Co., Ltd.

Neil Woodall

Bob Zhang

Yue Ma

Guohua Cheng

Junhua Chen

Guodong Liu

Minghui Yang

Xiaojie Sheng

Hongmin Zhang

James H Zhou

Miao Sima

Tao Chen

Baochen Liu

Zongming Han

Gongxian Liu

Huili Han

Qiang Li

Xuan Wu

Yanxin Li

Hongmin (Bob) Zhang

G Finn Wredenhagen

Jian Zhou

Kevin Ng

Ji Zhao

Carl H Alelyunas

Qinghai Wang

Richard Miller

Jian (James) Zhou

Yongmin Hou

Songsong Chen

Haiyan Shi

Wenwen Yi

Methods and systems are herein provided for judder adjustment. In one example, a system comprises a display device configured to display scenes of a major motion picture and a user interface; and a computing device including a processor communicatively coupled to the display device, wherein the computing device is configured to execute instructions stored in non-transitory memory that, when executed cause the processor to obtain and display a scene within the user interface, interpolate frames for one or more of a plurality of input frames of the scene based on a selected judder angle, wherein the selected judder angle is selected via an adjustable dial of the user interface; and display the scene with a perceived judder resulting from the interpolated frames.

Methods and systems for judder adjustment in major motion pictures

Various methods and systems are provided for increasing an efficiency of operations for improving digital image quality. In an embodiment, a method for processing a digital image includes generating a higher resolution histogram from the digital image, the higher resolution histogram generated from a lower resolution histogram of raw image data of the digital image, filtering the higher resolution histogram, downsampling the filtered, higher resolution histogram to form a downsampled histogram, generating one or more picture quality adjustments based on the downsampled histogram, applying the one or more picture quality adjustments to the raw image data of the digital image to generate an improved digital image, the improved digital image having a higher picture quality than the digital image, and displaying the improved digital image on a display device.

Methods and systems for improving a quality of digital images

Various methods are provided for the generation of motion vectors in the context of 3D computer-generated images. In one example, a method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV1) and a 0-phase motion vector (MV0), each MV1 and MV0 having an associated depth value, to thereby form an MV1 texture and an MV0 texture, each MV0 determined based on a camera MV0 and an object MV0, and outputting MV1 texture and the MV0 texture for image processing.

Methods and systems for 0-phase motion vectors in 3D graphics

Various methods are provided for generating motion vectors in the context of 3D computer-generated images. An example method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV) and a 0-phase motion vector (MV), each MVand MVhaving an associated depth value, to thereby form an MVtexture and an MVtexture; converting the MVtexture to a set of MVblocks and converting the MVtexture to a set of MVblocks; and outputting the set of MVblocks and the set of MVblocks for image processing.

Methods and systems for motion vectors in 3D graphics

Various methods and systems are provided for accelerated image rendering with motion compensation. In one embodiment, a method comprises calculating motion between a preceding image frame and a target image frame to be rendered, rendering a small image with a size smaller than a target size of the target image frame based on the calculated motion, and generating the target image frame at the target size based on the small image, the calculated motion, and a reference image frame. In this way, high-quality image frames for a video stream may be generated with a reduced amount of rendering for each frame, thereby reducing the overall processing resources dedicated to rendering as well as the power consumption for image rendering.

Methods and systems for accelerated image rendering with motion compensation

Various methods are provided for the generation of motion vectors in the context of 3D computer-generated images. In one example, a method includes generating, for each pixel of one or more objects to be rendered in a current frame, a 1-phase motion vector (MV1) and a 0-phase motion vector (MV0), each MV1 and MV0 having an associated depth value, to thereby form an MV1 texture and an MV0 texture, each MV0 determined based on a camera MV0 and an object MV0, converting the MV1 texture to a set of MV1 pixel blocks and converting the MV0 texture to a set of MV0 pixel blocks and outputting the set of MV1 pixel blocks and the set of MV0 pixel blocks for image processing.

A method is provided for controlling display of an image on a display panel of a display device, the method comprising determining a commanded brightness level for the display panel, generating an index look-up table (LUT) and a mura LUT based on the brightness level and a relationship between pixel output and pixel value for each pixel of the display panel for each of a plurality of brightness levels, the relationship determined during a calibration phase and stored in memory of the display device, determining an index value for each pixel of the display panel based on the index LUT, determining a corrected pixel value for each pixel based on the mura LUT and the index value, and sending the corrected pixel value to that pixel within the display device.

Methods and systems for calibrating and controlling a display device

Various methods and systems are provided for image processing for multiple cameras. In one embodiment, a method comprises acquiring image frames with a plurality of image frame sources configured with different acquisition settings, processing the image frames based on the different acquisition settings to generate at least one final image frame, and outputting the at least one final image frame. In this way, information from different image frame sources such as cameras may be leveraged to achieve increased frame rates with improved image quality and a desired motion appearance.

Methods and systems for image processing with multiple image sources

Various methods and systems are provided for image processing for multiple cameras. In one embodiment, a method comprises acquiring a plurality of image frames from each image frame source of a plurality of image frame sources, each plurality of image frames acquired at a first frame rate, combining the plurality of image frames from each image frame source into a single plurality of image frames with a second frame rate higher than the first frame rate, and outputting the single plurality of image frames as a video. In this way, high-frame-rate video may be obtained with multiple low-frame-rate image frame sources or cameras.

A method of calibrating a display panel includes making measurements of color components produced by the display panel, receiving an input image signal consisting of one or more pixel represented by input color component values, applying a first non-linear transform to the input color component values of the pixel to produce transformed color component values, wherein the first non-linear transform is either based upon the measurements and the panel design or a ratio of values of color components based upon the measurements, applying a crosstalk correction transform to the transformed color component values to produce crosstalk corrected color component values, applying a second non-linear transform to the crosstalk corrected color component values to produce final color component values, and sending the final color component values to the display panel. A method of calibrating a display panel, includes making measurements of color components displayed on the display panel, using the measurements to generate at least one non-linear crosstalk correction transform, receiving an input image signal consisting of one or more pixel represented by input color component values, changing parameters used in the at least one crosstalk correction transform based upon a current of the panel, and applying one of the at least one crosstalk correction transform having parameters that are a closest fit to the measurements.

Accurate display panel calibration with common color space circuitry

A method includes receiving, at a processor, at least one frame of input image data, producing motion vector fields between the frames of input image data, and applying temporal stability to the at least one frame of the input image data to produce noise reduced image data, wherein applying temporal stability comprises separating pixel data into frequency bands.

Temporal stability for single frame super resolution

A method of calibrating a display panel including making measurements of color components displayed on the display panel, using the measurements to generate at least two non-linear models for each color component, receiving an input image consisting of one or more pixels represented by input color values, calculating a crosstalk gain for a given value of the color components using the generated non-linear models and the input values of a pixel, applying the crosstalk gain to the color components of the pixel to create crosstalk compensated component values, and displaying an image using the crosstalk compensated component values.

Panel calibration using multiple non-linear models

A method of encoding a non-linear, color space video signal includes converting the non-linear video signal to a linear video signal, transforming the non-linear signal to produce a transformed non-linear signal, transforming the linear signal to product a transformed linear signal, using the transformed linear signal to determine errors, applying the errors to the non-linear, color space video signal to produce a compensated non-linear color space signal, and encoding the compensated signal.

Low frequency compensated encoding

A method of estimating motion in video display data includes dividing a frame of the video display data into blocks, generating at least two motion models for a current block from motion models of neighboring blocks to the current block, and selecting one of the motion models based upon a similarity of the motion model that minimizes differences between corresponding blocks in reference frames to the current block.

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Newport Beach, CA, United States of America

Neil Woodall