Noise estimation for images

摘要

Implementations relate to estimating noise in images. In some implementations, a method includes extracting a plurality of sample blocks of pixels from a received image, where each sample block includes a subset of pixels of the image. One or more of the sample blocks are examined for texture content based on whether the sample blocks include one or more edges based on a predetermined threshold. At least one sample block determined to include texture content is removed. The method determines one or more average color variances based on the remaining sample blocks that have not been removed, where noise estimations for the image are based on the average color variances.

主权项

1. A method comprising:
extracting a plurality of sample blocks of pixels from a received image, wherein each sample block includes a subset of pixels of the image; examining one or more of the sample blocks for texture content based on whether the one or more sample blocks include one or more edges based on a predetermined threshold; clustering one or more of the sample blocks into associated color bins based on a mean color of each sample block, wherein each color bin represents a different sub-range of colors out of a total range of colors for the pixels of the image; removing at least one of the sample blocks, the removed at least one sample block determined to include texture content; and determining one or more average color variances based on the remaining sample blocks that have not been removed, wherein one or more noise estimations for the image are based on the one or more average color variances, wherein the determining one or more average color variances includes determining an average color variance associated with each color bin based on the remaining sample blocks in each color bin, wherein a noise estimation for each color bin is based on the associated average color variance for each color bin.