Abstract: One or more lighting components are projected onto pixel locations of a rendered image with sampling locations set off from pixel location centers according to associated jitter vectors. The sampled image is denoised in way that preserves the associated jitter vectors, and may be performed separately for different lighting components. The denoised image is processed using upsampling and/or temporal antialiasing, using the associated jitter vectors, to an image format having a spatial resolution at least as high as the denoised image.

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: A method and system for processing image data having a first bit depth using at least one trained neural network configured to operate on data having a second bit depth, where the second bit depth is smaller than the first bit depth by generating a plurality of image data portions by splitting the image data. Each of the plurality of image data portions is encoded to produce a plurality of encoded image data portions having the second bit depth. The plurality of image data portions are then processed by at least one trained neural network, before being decoded and combined to produce composite image data. The composite image data is then output.

Abstract: A first image frame in a first resolution format comprising image signal intensity values mapped to first pixel locations has sampling points offset from the centers of first pixel locations according to associated jitter vectors. The image signal intensity values are mapped to second pixel locations in a second image frame in a second resolution format based at least in part on the jitter vectors, the second resolution format being higher resolution than the first resolution format. The mapped image signal intensity values are combined with image signal intensity values of an accumulated history image buffer according to coefficients predicted by a neural network such as based on magnitudes of the jitter vectors. Interpolated pixel image intensities are added to the accumulated history buffer for empty or null pixel locations in the second image frame in the second image format. Upsampling artifacts such as checkerboarding and aliasing are reduced.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to apply an image anti-aliasing operation to an image frame.

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: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to select between and/or among multiple available alternative approaches to perform a temporal anti-aliasing operation in processing an image.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to apply an image anti-aliasing operation to an image frame. In a particular implementation, an anti-flicker process may be applied to a portion of an image frame based, at least in part, on a rate of change in an intensity in the image frame.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to select between and/or among multiple available alternative approaches to perform a temporal anti-aliasing operation in processing an image.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to apply an image anti-aliasing operation to an image frame.

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 interpolating pixel values for one or more color channels.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to select between and/or among multiple available alternative approaches to perform a temporal anti-aliasing operation in processing an image.

Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to select between and/or among multiple available alternative approaches to perform a temporal anti-aliasing operation in processing an image.