Hand-held low-light photography with exposure bracketing
Taking good photos in low-light conditions using a smart-phone camera is quite challenging. In this paper, we propose a method to produce a sharp well-exposed image under dim light scenarios using exposure bracketing. These images captured from a hand-held camera can be viewed as a set of blurred (high exposure) and noisy images (low exposure). We first describe an algorithm for estimating the sharp latent image and depth map from a noisy-blurred pair by employing a gradient prior derived from the noisy image. We also show how our approach can be extended for extracting the high dynamic range information embedded in differently exposed images. Our framework can comfortably account for mis-alignments, depth variations and space-variant blurring.