Abstract: There is provided a method and apparatus to generate audio data for a user, the apparatus comprising: an input device to receive one or more inputs derived from an environment in which the user is located; and a processor configured to obtain an acoustic profile for the environment based on or in response to the one or more inputs, synthesize audio data having audio characteristics corresponding to a sound source in the environment in accordance with the acoustic profile, and output the synthesized audio data for use by the user.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may implement, in whole or in part, techniques to process portions of an image frame according to a level of diminished signal information. Portions of an image frame experiencing diminished signal information may be sampled a lower rate/more sparsely to reduce impacts to downstream image processing resources.

Abstract: A method for adjusting an exposure level of an image sensor. The method comprises receiving intensity values of a current image captured by the image sensor, the image sensor having an initial exposure level when the current image is captured. The method comprises determining an intensity status based on comparing at least one characteristic of at least the current intensity values to one or more criteria. The method comprises selecting an exposure convergence mode, from a plurality of exposure convergence modes, based on the intensity status. The method comprises calculating, based on the current intensity values and the exposure convergence mode, a new exposure level for use by the image sensor in capturing a subsequent image.

Abstract: A method for processing an image captured by an image sensor. The method comprises receiving first pre-tonemapped intensity values of a first image captured by the image sensor. The method comprises applying a first tonemapping function having a first tonemapping strength to the first pre-tonemapped intensity values to generate first tonemapped intensity values. The method comprises receiving second pre-tonemapped intensity values of a second image captured by the image sensor, the second image captured subsequent to the first image. The method comprises, based on a difference between the first tonemapped intensity values and a target for the first tonemapped intensity values, determining a second tonemapping function having a second tonemapping strength. The method comprises applying the second tonemapping function to the second pre-tonemapped intensity values to generate second tonemapped intensity values.

Abstract: A method for processing an image. The method comprises receiving intensity values for each of a plurality of images captured by an image sensor during a detection window. The method comprises identifying, using the intensity values, one or more transitions occurring during the detection window, the one or more transitions each comprising a transition between an image in which a maximum clipping criterion is not satisfied and an image in which the maximum clipping criterion is satisfied. The method comprises, based on the identified transitions, at least one of: adjusting an exposure level of the image sensor; and determining a tonemapping function having a tonemapping strength, and applying the tonemapping function to the intensity values of a current image to generate tonemapped intensity values, wherein the image sensor has a current exposure level when the current image is captured.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to process image signal intensity values sampled from a multi color channel imaging device. In particular, methods and/or techniques disclosed herein are directed to processing image signal intensity values by application of kernel coefficients to the image signal intensity values.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to process pixel values sampled from a multi color channel imaging device. In particular, methods and/or techniques to process pixel samples for non-visible light from pixels allocated to detection of infrared light are disclosed.

Abstract: A computer-implemented method, a computer system configured to perform the method, and a non-transitory computer-readable storage medium are provided comprising instructions for executing the method are provided. The computer-implemented method comprises obtaining input video data including frames of input image data comprising first image data values expressed in an input color space. The first image data values are processed with a first and second color space conversion process to generate first processed image data and second processed image data respectively. The first processed image data and the second processed image data include image data values expressed in an output color space. Output image data is derived from both the first processed image data and the second processed image data.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to process pixel values sampled from a multi color channel imaging device. In particular, methods and/or techniques to process pixel samples for interpolating pixel values for one or more color channels.

Abstract: There is provided a method and apparatus to generate audio data for a user, the apparatus comprising: an input device to receive one or more inputs derived from an environment in which the user is located; and a processor configured to obtain an acoustic profile for the environment based on or in response to the one or more inputs, synthesize audio data having audio characteristics corresponding to a sound source in the environment in accordance with the acoustic profile, and output the synthesized audio data for use by the user.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to process pixel values sampled from a multi color channel imaging device. In particular, methods and/or techniques to process pixel samples for non-visible light from pixels allocated to detection of infrared light are disclosed.

Abstract: A computer-implemented method, a computer system configured to perform the method, and a non-transitory computer-readable storage medium are provided comprising instructions for executing the method are provided. The computer-implemented method comprises obtaining input video data including frames of input image data comprising first image data values expressed in an input color space. The first image data values are processed with a first and second color space conversion process to generate first processed image data and second processed image data respectively. The first processed image data and the second processed image data include image data values expressed in an output color space. Output image data is derived from both the first processed image data and the second processed image data.

Abstract: An image processing method including obtaining image data. The image data includes a plurality of image data values. The image processing method also includes processing the image data, thereby generating output data. Processing the image data includes applying a convolution operation to the plurality of image data values using a kernel including a plurality of coefficients. Applying the convolution operation includes obtaining a sum of image data values of the plurality of image data values that correspond respectively to coefficients of the plurality of coefficients that each have a common coefficient value. Applying the convolution operation also includes multiplying the sum by the common coefficient value.

Abstract: A method of optimising an image signal processor (ISP), which is to be used to process sensor image data generating output image data. The method may include obtaining sensor image data; processing the sensor image data according to one or more ISP settings to produce output image data; producing quality metric data associated with the output image data and optimising the one or more ISP settings based on the quality metric data.

Abstract: A method and apparatus for measuring depth using a time-of-flight (ToF) depth sensor is described. The apparatus includes an emitter configured to emit a signal towards a scene comprising one or more regions with light or sound, this emitter being controllable to adjust at least one of an intensity and a modulation frequency of the signal output from the emitter. The apparatus also includes a signal sensor, configured to detect an intensity of the signal from the emitter that has been reflected by the scene. A controller is configured to receive context information about the scene for depth capture by the time-of-flight depth sensor and to adjust at least one of the intensity and modulation frequency of the signal output by the emitter in dependence on the context information.

Abstract: An image signal processor, comprising an input module for obtaining input data from a camera, whereby the camera is arranged to capture a representation of a real-world environment. The image signal processor further comprises at least one adjustment module for compressing the input data and producing compressed input data, and a localization and mapping module arranged to generate one or more data points from the compressed input data. The image signal processor also comprises an output module for outputting at least the one or more data points.

Abstract: A method of determining the span of logical entities in a network is provided. The method generates a directed graph. Each node of the graph corresponds to a logical network entity. Each edge of the graph has one or two directions. A direction from a first node to a second node identifies the first node as the source of span for the second node. The method determines the span of each node based on the direction of the edges of the directed graph. The method groups each set of nodes that are accessible by all other nodes in the set in a strongly connected group (SCC) sub-graph. The method generates a group node in a directed acyclic graph (DAG) to correspond to each SCC sub-graph in the directed graph. The method assigns the span of each SCC to the corresponding group node of the DAG.

Abstract: An image signal processor, comprising an input module for obtaining input data from a camera, whereby the camera is arranged to capture a representation of a real-world environment. The image signal processor further comprises at least one adjustment module for compressing the input data and producing compressed input data, and a localization and mapping module arranged to generate one or more data points from the compressed input data. The image signal processor also comprises an output module for outputting at least the one or more data points.

Abstract: A method of optimising an image signal processor (ISP), which is to be used to process sensor image data generating output image data. The method may include obtaining sensor image data; processing the sensor image data according to one or more ISP settings to produce output image data; producing quality metric data associated with the output image data and optimising the one or more ISP settings based on the quality metric data.

Abstract: A method of determining an exposure ratio for use with a multi-exposure image capture system operable to capture a first image of a scene with a first exposure and a second image of the scene with a second exposure shorter than the first exposure. The exposure ratio is a ratio of the first exposure to the second exposure. The method comprises obtaining image data representative of an image captured using an image sensor of the image capture system and setting the exposure ratio in dependence on a distribution of counts relating to values of a characteristic of respective pixels of the image and a weighting function which varies with the values of the characteristic.