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When creating a High‐Dynamic‐Range (HDR) image from a sequence of differently exposed Low‐Dynamic‐Range (LDR) images, the set of LDR images is usually generated by sampling the space of exposure times with a geometric progression and without explicitly accounting for the distribution of irradiance values of the scene. We argue that this choice can produce sub‐optimal results both in terms of the number...
All-in-focus imaging is a computational photography technique that produces images free of defocus blur by capturing a stack of images focused at different distances and merging them into a single sharp result. Current approaches assume that images have been captured offline, and that a reasonably powerful computer is available to process them. In contrast, we focus on the problem of how to capture...
We present an approach to global image registration that allows a robust and efficient image alignment, required in various mobile imaging applications (e.g. multi-frame image enhancement, high dynamic range imaging, panoramic image stitching). The proposed method follows a coarse to fine strategy, adopting different registration techniques at coarse and fine resolution levels. Coarse levels are registered...
We introduce a mobile system for high resolution panoramic image creation. In our system the user can rotate the camera arbitrarily and see the preview panorama in real-time. The system automatically captures high resolution images and generates a high-quality result with unlimited viewing angle. We employ a coarse-to-fine method for high-quality registration, and a seam-finding method to remove the...
We present an image enhancement algorithm based on fusing the visual information present in two images of the same scene, captured with different exposure times. The main idea is to exploit the differences between the image degradations that affect the two images. On one hand the short-exposed image is less affected by motion blur, whereas the long-exposed image is less affected by noise. Different...
Smart phones are becoming visual computing powerhouses. Using sensors such as camera, GPS, and others, the device can provide a new user interface to the real world, augmenting user's view of the world with additional information and controls. Combining computation with image capture allows new kind of photography that can be more expressive than is possible to obtain with a traditional camera. New...
The objective of image stabilization is to prevent image blurring caused by the relative motion between the camera and the scene during the image integration time. In this paper we propose a software approach to image stabilization based on capturing and fusing multiple short exposed image frames of the same scene. Due to their short exposure, the individual frames are noisy, but they are less corrupted...
A relative motion between the camera and the scene during the image integration time results in a degradation of the image quality, known as motion blur. The objective of image stabilization is either to prevent or to remove this type of image degradation. In this paper we propose an image stabilization method based on fusing multiple short exposed image frames of the same scene. Due to their short...
Any motion of the camera during the image integration time may determine an image degradation known as motion blur. One approach to prevent this degradation, namely multi-frame image stabilization, consists of synthesizing a potentially motion blur free image by registering and fusing multiple short exposed image frames of the same scene. In this paper we propose an approach to image fusion for multi-frame...
Shooting videos with a hand-held camera introduces shaking, which incontrovertibly reduces video quality. Digital video stabilization is a process to compensate for camera motion by means of image processing. In the best case, it not only removes the image motion, but also reduces image distortion caused by unintentional camera motion. In practice, removing solely unwanted jitter cannot be achieved...
In this paper we introduce a novel approach to global motion estimation for image stabilization application. The method is robust to image degradations characteristic to image stabilization, e.g. image blur caused by motion or out of focus. In addition, due to its low computational complexity, the proposed method could be included in a real-time digital image stabilization system. The ability of the...
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