Abstract: Systems and techniques provide for low-latency, full-frequency noise filtering of images through the use of an image-scaling-based filtering technique, or “multiscale filtering technique”, that can provide filtering for low, medium, and/or high frequencies for one or more components of an image, such that the different resolution scales at each level of the multiscale filtering technique provides a larger receptive field for a denoising process employed at each level than a conventional denoising framework. This multiscale filtering includes receiving an input image to be filtered and then performing a multiscale filtering process in which an input image is, at different resolution scales, denoised, downscaled, upscaled, and fused with a result of a lower resolution scale, to generate a filtered image. This may include temporarily buffering intermediate image data for some of the resolution scales at a memory using direct memory access (DMA) operations.

Abstract: Systems and techniques provide for low-latency, full-frequency noise filtering of images through the use of an image-scaling-based filtering technique, or “multiscale filtering technique”, that can provide filtering for low, medium, and/or high frequencies for one or more components of an image, such that the different resolution scales at each level of the multiscale filtering technique provides a larger receptive field for a denoising process employed at each level than a conventional denoising framework. This multiscale filtering includes receiving an input image to be filtered and then performing a multiscale filtering process in which an input image is, at different resolution scales, denoised, downscaled, upscaled, and fused with a result of a lower resolution scale, to generate a filtered image. This may include temporarily buffering intermediate image data for some of the resolution scales at a memory using direct memory access (DMA) operations.