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Computational Photography: Methods and Applications (Digital Imaging and Computer Vision)

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Computational photography is a new and rapidly developing research field. It has evolved from computer vision, image processing, computer graphics, and applied optics, and refers broadly to computational imaging techniques that enhance or extend the capabilities of digital photography. The output of these techniques is an image which cannot be produced by today’s common imaging solutions and devices. Despite the recent establishment of computational photography as a recognized research area, numerous commercial products capitalizing on its principles have already appeared in diverse market applications due to the gradual migration of computational algorithms from computers to image-enabled consumer electronic devices and imaging software.

Image processing methods for computational photography are of paramount importance in the research and development community specializing in computational imaging due to the urgent needs and challenges of emerging digital camera applications. There exist consumer digital cameras which use face detection to better focus and expose the image, while others perform preliminary panorama stitching directly in the camera and use local tone mapping to manage difficult lighting situations. There are also successful attempts to use the information from a set of images, for instance, to reduce or eliminate image blur, suppress noise, increase image resolution, and remove objects from or add them to a captured image.

Thus it is not difficult to see that many imaging devices and applications already rely on research advances in the field of computational photography. The commercial proliferation of digital still and video cameras, image-enabled mobile phones and personal digital assistants, surveillance and automotive apparatuses, machine vision systems, and computer graphic systems has increased the demand for technical developments in the area. It is expected that the growing interest in image processing methods for computational photography and their use in emerging applications such as digital photography and art, visual communication, online sharing in social networks, digital entertainment, surveillance, and multimedia will continue.
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