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Open Access Use of Flawed and Ideal Image Pairs to Drive Filter Creation by Genetic Programming

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Traditional image enhancement techniques improve images by applying a series of filters, each of which repairs a specific type of flaw, but most modern digital cameras produce images with a variety of subtle interacting defects. Sequential repair is slow, and the interactions limit the effectiveness.

This paper describes a fundamentally different approach in which a single filter is created to repair the potentially myriad interacting defects associated with a particular camera configuration and set of exposure parameters. Genetic programming (GP) is used to automatically evolve a filter algorithm that will convert flawed images into images minimally differing at the pixel level from the corresponding provided ideal images. For example, the flawed images might be shot at a high ISO and the ideal ones might be the exact same static scenes, aligned at the pixel level, but shot at a low ISO using appropriately longer exposure times. Just as easily, the flawed images might be technically wellcorrected, while the ideal ones were manually-edited to adjust and smooth skin tones, sharpen hair, enhance shadow regions, etc. The custom-coded parallel GP, its performance, and performance of the generated filters is discussed with an example.
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Document Type: Research Article

Publication date: February 14, 2016

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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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