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We introduce "time hallucination": synthesizing a plausible image at a different time of day from an input image. This challenging task often requires dramatically altering the color appearance of the picture. In this paper, we introduce the first data-driven approach to automatically creating a plausible-looking photo that appears as though it were taken(More)
Headshot portraits are a popular subject in photography but to achieve a compelling visual style requires advanced skills that a casual photographer will not have. Further, algorithms that automate or assist the stylization of generic photographs do not perform well on headshots due to the feature-specific, local retouching that a professional photographer(More)
We explore whether we can observe Time's Arrow in a temporal sequence–is it possible to tell whether a video is running forwards or backwards? We investigate this somewhat philosophical question using computer vision and machine learning techniques. We explore three methods by which we might detect Time's Arrow in video sequences, based on distinct ways in(More)
Image formation is traditionally described by a number of individual models, one for each specific effect in the image formation process. However, it is difficult to aggregate the effects by concatenating such individual models. In this paper, we apply light transport analysis to derive a unified image formation model that represents the radiance along a(More)
Taking photographs through windows or glass panes often results in reflections which reduce the picture quality. Such a situation is shown in Figure 1(a). Separating the transmission T and reflection R is a well-studied, but ill-posed problem, since both T and R are natural images with similar characteristics. Furthermore, traditional imaging models assume(More)
It is often desirable to detect whether a surface has been touched, even when the changes made to that surface are too subtle to see in a pair of before and after images. To address this challenge, we introduce a new imaging technique that combines computational photography and laser speckle imaging. Without requiring controlled laboratory conditions, our(More)
Cloud image processing is often proposed as a solution to the limited computing power and battery life of mobile devices: it allows complex algorithms to run on powerful servers with virtually unlimited energy supply. Unfortunately, this overlooks the time and energy cost of uploading the input and downloading the output images. When transfer overhead is(More)
Restoring defocused image is a challenging problem partly because the blur level of the image is space-variant for scenes with non-uniform depth. The most noticeable artifact of debluring is the ringing around object boundary. Counterintuitively, we find that inaccurate depth estimate at object edges is the major cause of the ringing artifact. We(More)
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