Devices, methods, and non-transitory program storage devices for spatiotemporal image noise reduction are disclosed, comprising: maintaining an accumulated image in memory; and obtaining a first plurality of multispectral images (e.g., RGB-IR images). For each image in the first plurality of multispectral images, the method may: calculate a multispectral guide image for the current image; calculate blending weights for the current image; apply the calculated blending weights to each channel of the current image to generate a denoised current image; and update the accumulated image based on pixel differences between the denoised current image and the accumulated image. In some embodiments, additional images (e.g., the accumulated image and/or other images captured prior to or after a given current image) may also be included in the denoising operations for a given current image. Finally, the method may generate a denoised output image for each input image, based on the updated accumulated image.

Devices, methods, and non-transitory program storage devices for spatiotemporal image noise reduction are disclosed, comprising: maintaining an accumulated image in memory; and obtaining a first plurality of multispectral images (e.g., RGB-IR images). For each image in the first plurality of multispectral images, the method may: calculate a multispectral guide image for the current image; calculate blending weights for the current image; apply the calculated blending weights to each channel of the current image to generate a denoised current image; and update the accumulated image based on pixel differences between the denoised current image and the accumulated image. In some embodiments, additional images (e.g., the accumulated image and/or other images captured prior to or after a given current image) may also be included in the denoising operations for a given current image. Finally, the method may generate a denoised output image for each input image, based on the updated accumulated image.

Methods and systems are provided for noise suppression in data, particularly data comprising video and/or audio data. An input adjustment, based on a corresponding input adjustment value, may be applied to received input data that comprises video and/or audio data; and an output adjustment, based on a corresponding output adjustment value, may be applied to output data corresponding to previously processed received input data. The input adjustment value may be re-calculated based on an outcome of applying the input adjustment to the received data, and when a change occurs in the input adjustment value the change in the input adjustment value may be applied to subsequent received input data, and at the same time, and based on the change in the input adjustment value, a corresponding change may be applied at least some of data corresponding to previously processed received input data.

Methods and systems are provided for noise suppression in data, particularly data comprising video and/or audio data. An input adjustment, based on a corresponding input adjustment value, may be applied to received input data that comprises video and/or audio data; and an output adjustment, based on a corresponding output adjustment value, may be applied to output data corresponding to previously processed received input data. The input adjustment value may be re-calculated based on an outcome of applying the input adjustment to the received data, and when a change occurs in the input adjustment value the change in the input adjustment value may be applied to subsequent received input data, and at the same time, and based on the change in the input adjustment value, a corresponding change may be applied at least some of data corresponding to previously processed received input data.

Noise is sufficiently reduced in a moving image. A determination section determines, each time an input image is input, whether a change amount of a pixel value distribution in the input image and an output image that is output is smaller than a predetermined threshold value. A mixing ratio supply section supplies a value that becomes larger as the number of times the change amount is sequentially determined to be smaller than the predetermined threshold value becomes larger, the value serving as a mixing ratio of the output image in mixing of the input image and the output image. A mixing section mixes, each time the input image is input, the input image and the output image based on the supplied mixing ratio and outputs the input image and the output image to serve as a new output image.

Noise is sufficiently reduced in a moving image. A determination section determines, each time an input image is input, whether a change amount of a pixel value distribution in the input image and an output image that is output is smaller than a predetermined threshold value. A mixing ratio supply section supplies a value that becomes larger as the number of times the change amount is sequentially determined to be smaller than the predetermined threshold value becomes larger, the value serving as a mixing ratio of the output image in mixing of the input image and the output image. A mixing section mixes, each time the input image is input, the input image and the output image based on the supplied mixing ratio and outputs the input image and the output image to serve as a new output image.

Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image-generating source to provide one or more frames of image data in a time-sequential manner, a light modulator configured to transmit light associated with the one or more frames of image data, a substrate to direct image information to a user's eye, wherein the substrate houses a plurality of reflectors, a first reflector of the plurality of reflectors to reflect transmitted light associated with a first frame of image data at a first angle to the user's eye, and a second reflector to reflect transmitted light associated with a second frame of the image data at a second angle to the user's eye.

Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an image-generating source to provide one or more frames of image data in a time-sequential manner, a light modulator configured to transmit light associated with the one or more frames of image data, a substrate to direct image information to a user's eye, wherein the substrate houses a plurality of reflectors, a first reflector of the plurality of reflectors to reflect transmitted light associated with a first frame of image data at a first angle to the user's eye, and a second reflector to reflect transmitted light associated with a second frame of the image data at a second angle to the user's eye.

A noise removal device includes a noise remover, a data compressor, a data decompressor, a stillness detector, and an output selector. For a second frame succeeding a first frame, the noise remover performs noise removal on input image data of the second frame to generate noise removed data, based on the input image data of the second frame and decompressed data of the first frame. For the second frame, the output selector: selects the input image data as output image data, when the stillness detector detects that the input image data is data of a still image; and selects the noise removed data as the output image data, when the stillness detector detects that the input image data is not the data of the still image.

A noise removal device includes a noise remover, a data compressor, a data decompressor, a stillness detector, and an output selector. For a second frame succeeding a first frame, the noise remover performs noise removal on input image data of the second frame to generate noise removed data, based on the input image data of the second frame and decompressed data of the first frame. For the second frame, the output selector: selects the input image data as output image data, when the stillness detector detects that the input image data is data of a still image; and selects the noise removed data as the output image data, when the stillness detector detects that the input image data is not the data of the still image.