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One of the most important aspects of a good image is that the subject looks good. It is therefore one's objective, when building an automatic image enhancement system, to optimize the appearance of the image subject(s). Moreover, people often have specific preferences regarding the look of different objects. Grass, for example, is considered prettier when green and with sharp texture, while skin is expected to be smooth, and, preferably, not green. An image enhancement process that involves such object dependent considerations requires the guidance of a human supervisor able to identify image content and adapt the enhancement parameters for each content object accordingly. The paper proposes to automate content sensitive image enhancement to correspond to human preferences regarding the appearance of people in an image.
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