Abstract: A method includes obtaining a raw image and mapping, using a raw image encoder, the raw image to a compressed domain. The raw image is represented using latent variables in the compressed domain. The method also includes performing one or more image signal processing operations on the latent variables, where (i) each of the one or more image signal processing operations is configured to operate in the compressed domain and (ii) the one or more image signal processing operations generate processed latent variables. The method further includes mapping, using an output image decoder, the processed latent variables to an output image in an output color space.

Abstract: An artificial intelligence (AI) measurement system for an X-ray image is employed either as a component of the X-ray imaging system or separately from the X-ray imaging system to automatically scan post-exposure X-ray images to detect and locate various landmarks of the anatomy presented within the X-ray image. A set of key image features approximating the locations of the landmarks having known distance relationships to one another is overlaid onto the X-ray image. The positions of the key image features are then adjusted to correspond to the landmarks within the X-ray image. These adjustments are made relative to the prior known distance relationships between the key features, which enables the measurement system to readily calculate desired angular and length measurements between landmarks as a result.