Patent ID: 8811490
Filing Date: 2014-08-19
Classification: G06F,H04N,H05K

Abstract:
1. A method comprising: providing a variety of multi-channel, multiple-regression (MMR) prediction models, each MMR prediction model adapted to approximate an image having a first dynamic range in terms of receiving a first image and a second image, wherein the second image has a different dynamic range than the first image; selecting a multi-channel, multiple-regression (MMR) prediction model from the variety of MMR models; determining values of the prediction parameters of the selected MMR model; computing an output image approximating the first image based on the second image and the determined values of the prediction parameters applied to the selected MMR prediction model; outputting the determined values of the prediction parameters and the computed output image, wherein the variety of MMR models includes a first order multi-channel, multiple regression prediction model incorporating cross-multiplications between the color components of each pixel according to the formula wherein {circumflex over (v)} i =[{circumflex over (v)} i1 {circumflex over (v)} i2 {circumflex over (v)} i3 ] denotes the predicted three color components of the i-th pixel of the first image, s i =[s i1 s i2 s i3 ] denotes the three color components of the i-th pixel of the second image, {tilde over (M)} (1) is a 3×3 matrix and n is a 1×3 vector according to wherein the prediction parameters of said first order multi-channel, multiple regression prediction model are numerically obtained by minimizing the mean square error between the first image and the output image.