1. A method, comprising: receiving a plurality of image pairs, each said image pair including a raw image and an adjusted image that comprises an adjusted version of the raw image having one or more adjusted parameters in comparison to one or more corresponding unadjusted parameters of the raw image; generating a plurality of curves that each relate the one or more unadjusted parameters of the raw image to the one or more adjusted parameters of the adjusted image, the plurality of curves generated by a trained regression algorithm, that is trained on the plurality of image pairs and an adjustment offset, the adjustment offset being based on a correlation between the plurality of image pairs and adjustments made to a subset of the raw images of the plurality of image pairs; receiving a new image; and automatically, globally adjusting the new image, based on the trained regression algorithm by at least performing a weighted combination of the plurality of curves and applying the weighted combination to one or more parameters of the new image to create an adjusted new image.