Multiple Color Channel Multiple Regression Predictor

摘要

A method to approximate using a processor an image that has a first dynamic range in terms of an image that has a second dynamic range, the method comprising; receive a first image and a second image, where the second image has a different dynamic range than the first image; select multichannel multiple regression prediction model (MMR) from one or more MMR models; determine the prediction parameter values of the selected MMR model; calculate an output image by approximating the first image based on the second image and the determined values of the prediction parameters of the selected MMR prediction model, where the pixel values of at least one color component in the output image they are calculated based on a combination of the pixel values of all the color components in the second image; and output the determined values of the prediction parameters and the calculated output image, where the selected MMR prediction model is at least one of: a first-order MMR model with cross product that incorporates, for each of the pixels, cross multiplications between the color components of that pixel, a second order MMR model with cross product that also incorporates, for each of the pixels, cross multiplications between the second powers of the color components of that pixel , or a third order MMR model with cross product that also incorporates, for each of the pixels, cross multiplications between the third powers of the color components of that pixel, and where any of the MMR models to predict a pixel of the output image further comprises prediction parameters related to neighboring pixels of a corresponding pixel in the second image such that the pixel values of said at least one color component of a pixel provided in the output image depends on a combination of pixel values of all the color components of the corresponding pixel in the second image and also in the Pixel values of said at least one color component of the neighboring pixels of the corresponding pixel in the second image.