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Open Access Fast restoring of high dynamic range image appearance for multi-partial reset sensor

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Improving image quality by capturing high dynamic range (HDR) in a scene remains a technological challenge for CMOS sensors. The multi partial reset is a simple technique that allows a sensor to capture HDR inexpensively with high frame rate, low noise floor, and high signal to noise ratio. However, it flattens images due to compression of highlights, rending it useful only for machine vision and automotive applications.

In this work, we present an inverse function that restores HDR image appearance specifically for a multi partial reset sensor (MPRS). This function can be applied in software or firmware before demosaicing. Results show that the function automatically enliven images with more depth and saturation that suit general purpose photography. Moreover, latency results show that it can be applied for real-time videography of high frame rate. These results would be computationally much more expensive to achieve using general image enhancement techniques, i.e. not specific to MPRS, especially for high definition, high frame rate, real-time video.
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Keywords: HDR; High Dynamic Range; Inverse function; Multi partial reset; compression

Document Type: Research Article

Publication date: January 13, 2019

This article was made available online on January 13, 2019 as a Fast Track article with title: "Fast restoring of high dynamic range image appearance for multi-partial reset sensor".

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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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