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Open Access Superfast joint demosaicing and super-resolution

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The problem of increasing spatial resolution from Bayer images is considered. It is solved locally at each point of the unknown high-resolution image. In each local neighbourhood, subpixel warp and blur kernel are assumed to be the same, which makes it possible to reduce the computational complexity from (n6) to (n2logn). A detailed description of the algorithm and its proof using the apparatus of multilevel matrices are provided. The relation between solutions of the SR problem with different warping parameters is also studied, and it is proven that certain solutions can be derived from solutions with other parameters by using simple transforms. This makes it possible to reduce the amount of memory used for storing filters within a filter bank approach up to 80 times (2× magnification, 3 input frames).
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Document Type: Research Article

Publication date: January 1, 2018

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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