Abstract: Methods and systems for image denoising when displaying high-dynamic-range images are described. Given an input image in a first dynamic range, and an input backward reshaping function mapping codewords from the first dynamic range to a second dynamic range, wherein the second dynamic range is equal or higher than the first dynamic range, statistical data based on the input image and the input backward reshaping function are generated to estimate the risk of noise artifacts in a target image in the second dynamic range generated by applying the input backward reshaping function to the input image. Using a measure of the variance in codeword bins in histograms of consecutive input frames (denoted as temporal histogram variance), a modified backward reshaping function is generated, which when applied to the input image to generate the target image eliminates or reduces noise artifacts in the target image.

Abstract: Methods and systems for image denoising when displaying high-dynamic-range images are described. Given an input image in a first dynamic range, and an input backward reshaping function mapping codewords from the first dynamic range to a second dynamic range, wherein the second dynamic range is equal or higher than the first dynamic range, statistical data based on the input image and the input backward reshaping function are generated to estimate the risk of noise artifacts in a target image in the second dynamic range generated by applying the input backward reshaping function to the input image. Using a measure of the variance in codeword bins in histograms of consecutive input frames (denoted as temporal histogram variance), a modified backward reshaping function is generated, which when applied to the input image to generate the target image eliminates or reduces noise artifacts in the target image.

Abstract: Systems and methods for image processing for increasing resolution of a multi-spectral image. Accept a multi-spectral image including a set of images of a scene. A memory to store a set of dictionaries trained for different channels, and a set of filters trained for the different channels. A hardware processor is to process the set of images of the different channels with the set of filters, and to fuse, for each channel, the set of structures, to produce a set of fused structures. Wherein a fused structure of the channel is fused as a weighted combination of the set of structures using weights corresponding to the channel, such that the fused structures of different channels are combined with different weights. To process the set of fused structures with corresponding dictionaries from the set of dictionaries, to produce a super-resolution multi-spectral image. An output interface to render the super-resolution multi-spectral image.

Abstract: Systems and methods for image processing for increasing resolution of a multi-spectral image. Accept a multi-spectral image including a set of images of a scene. A memory to store a set of dictionaries trained for different channels, and a set of filters trained for the different channels. A hardware processor is to process the set of images of the different channels with the set of filters, and to fuse, for each channel, the set of structures, to produce a set of fused structures. Wherein a fused structure of the channel is fused as a weighted combination of the set of structures using weights corresponding to the channel, such that the fused structures of different channels are combined with different weights. To process the set of fused structures with corresponding dictionaries from the set of dictionaries, to produce a super-resolution multi-spectral image. An output interface to render the super-resolution multi-spectral image.

Abstract: An SDR CDF is constructed based on an SDR histogram generated from a distribution of SDR codewords in SDR images. An HDR CDF is constructed based on an HDR histogram generated from a distribution of HDR codewords in HDR images that correspond to the SDR images. A histogram transfer function is generated based on the SDR CDF and the HDR CDF. The SDR images are transmitted along with backward reshaping metadata to recipient devices. The backward reshaping metadata is generated at least in part on the histogram transfer function.

Abstract: An SDR CDF is constructed based on an SDR histogram generated from a distribution of SDR codewords in SDR images. An HDR CDF is constructed based on an HDR histogram generated from a distribution of HDR codewords in HDR images that correspond to the SDR images. A histogram transfer function is generated based on the SDR CDF and the HDR CDF. The SDR images are transmitted along with backward reshaping metadata to recipient devices. The backward reshaping metadata is generated at least in part on the histogram transfer function.