Intel Corporation

Nokia Corporation

Beijing Xiaomi Mobile Software Co., Ltd.

Nokia Technologies Oy

Jarno Nikkanen

Ossi Kalevo

Liron Ain-Kedem

Dmytro Paliy

Evgeny Krestyannikov

Vladislav Uzunov

Mikko Ollila

Rastislav Lukac

Juha Alakarhu

Noam Levy

German Voronov

Edwin Jan Van Dalen

Vitali Samurov

Timo Gerasimow

Tapio Finnilä

Joni-Matti Määttä

Edmond Chalom

Dmitry Rudoy

Petri Ahonen

Lasse Lampinen

Timo Kaikumaa

Noha El-Yamany

Miikka Tuppurainen

Harish Essaky Sankaran

Uygar Tuna

Vitali Samodourov

Andriy Bazhyna

Lauri Suomela

Jiaqi Guo

Hao Ban

Osman Yilmaz

Yuan Gao

Janne Kotka

Method and device are provided for camera control to acquire an image. The method includes: acquiring a stream of image frames by an image sensor comprising at least one frame; acquiring a target frame by the image sensor; determining scene information in the target frame; selecting a reference frame from the stream of image frames by identifying the scene information of the target frame in the reference frame; determining at least one acquisition parameter of the reference frame; and acquiring a final image from the target frame with the acquisition parameters.

Method for camera control, image signal processor and device

A method, apparatus, and a non-transitory computer-readable storage medium for temporally stabilizing White Point (WP) information in an Auto White Balance (AWB) process. The method may include receiving lux level, AWB statistics, and input WP. The method also include generating a histogram of the AWB statistics. The method may also include generating, from the histogram, a confidence value for the input WP. The method may also include determining a major colour count. The method may also include determining a threshold value based on the major colour count and the lux level. The method may also include setting an update state to locked when the confidence value is below the threshold value and otherwise setting it to unlocked. The final WP information is obtained from a previous frame when the update state is locked and otherwise from the input WP information.

Computer implemented method for temporally stabilizing white point information in an auto white balance process, a data processing apparatus, a computer program product, and a computer-readable storage medium

A method, system, and article is directed to generating multi-exposure camera statistics for image processing by rearranging and sampling image data of multiple exposure images.

Method and system of generating multi-exposure camera statistics for image processing

A system, article, and method to perform deep learning-based automatic white balancing uses a neural network in conjunction with other non-neural network automatic white balancing algorithms.

Method and system of deep learning-based automatic white balancing

A method, system, and apparatus are described. The method includes calculating, via a white balancer, a candidate illumination chromaticity estimate for a current frame and calculating, via a scene prior monitor, a scene prior chromaticity for the current frame as a weighted sum of a scene prior chromaticity from a previous frame and a candidate illumination chromaticity estimate. The method also includes calculating, via a scene invariant illumination chromaticity controller, a final illumination chromaticity for the current frame as a weighted sum of a scene illumination chromaticity for the current frame and the candidate illumination chromaticity estimate.

Estimation of illumination chromaticity in automatic white balancing

A method, system, and article is directed to camera control and image processing with a multi-frame-based window for image data statistics.

Method and system of camera control and image processing with a multi-frame-based window for image data statistics

An embodiment of a semiconductor package apparatus may include technology to determine first scene chromaticity information for a frame of a video sequence, determine second scene chromaticity information for another frame of the video sequence, determine a scene content change based on the first and second scene chromaticity information, and determine a global illumination change based on the first and second scene chromaticity information. Other embodiments are disclosed and claimed.

Color parameter adjustment based on the state of scene content and global    illumination changes

Techniques related to self-calibration for phase detection autofocus.

Method and system of self-calibration for phase detection autofocus

An example sensor for phase detection autofocus includes a number of photodiodes to capture light in a number of wavelengths. The example sensor also further includes a color filter array including a grid of alternating color pass filters corresponding to the number of photodiodes. The example sensor further includes a mask including a number of filters to separate a band of light by blocking the band of light on opposing portions of at least two of the alternating color pass filters.

Phase detection autofocus using opposing filter masks

Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.

Machine learning of real-time image capture parameters

Camera control architecture and methods that distribute control responsibilities across hard real-time and soft real-time parts. The operation of digital camera control algorithms can be made less sensitive to timing fluctuations among the various systems within a device platform that includes a camera module (CM) and/or image signal processing (ISP) pipeline. Real-time dispatch of control parameter values may be offloaded from a controller responsible for generating control parameter values. With relaxed timing requirements, camera control algorithm libraries may be developed independent of lower-level hardware responsible for managing the dispatch of control parameter values to the CM and/or ISP.

Platform architecture for accelerated camera control algorithms

A method, system, and article provide automatic white balancing with skin tone correction for image processing.

AWB using face detection

An apparatus and methods for estimating a chromaticity of illumination from raw image data. In an embodiment, one or more image chromaticity weight is determined based on a distance between the raw image data in a sensor chromaticity space and a nearest point within a locus of sensor illumination chromaticities. In a further embodiment, one or more image chromaticity weight is determined based on a disparity among normalized color channel values. In certain embodiments, image chromaticity estimates are utilized to determine a white point estimate for the raw image data. In embodiments, an electronic device including a camera estimates the chromaticity value of raw image data captured by the camera as part of an AWB pipeline. The electronic device may further determine, for example as part of the AWB pipeline, a white point estimate based, at least in part, on the raw image data chromaticity value estimate(s).

Automatic white balancing with chromaticity measure of raw image data

A system, article, and method of run-time self-calibrating lens shading correction.

Method and system of run-time self-calibrating lens shading correction

Techniques for reducing color artifacts in a digital image are described. In one embodiment, for example, an apparatus may comprise logic, at least a portion of which is in hardware, the logic to determine a respective set of error values for each of a set of lens shading correction (LSC) tables, each set of error values describing error associated with application of its corresponding LSC table to a preprocessed image, determine a respective weight for each of the set of LSC tables based on the corresponding set of error values for that LSC table, and generate a composite LSC table for the preprocessed image as a weighted sum of the set of LSC tables, based on the respective weights for the set of LSC tables. Other embodiments are described and claimed.

Growing community of inventors

Kangasala, Finland

Jarno Nikkanen