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Open Access Sony ARW2 Compression: Artifacts And Credible Repair

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Although most cameras produce JPEG-encoded images ready for viewing, many also offer the ability to save the digitized, but otherwise unprocessed, sensor data in a file so that more sophisticated processing can be applied later. For recent Sony cameras, the raw data is encoded in a format known as ARW (Alpha RaW). Controversially, ARW version 2.0 and later employ lossy compression for 32x1-pixel blocks, combining a non-linear reduction of value range and a form of delta encoding. This compression has been associated with occasionally severe visual artifacts. In this paper, the artifacts observed with real cameras using this compression scheme are characterized and several algorithms for credible repair of those artifacts, including computational texture synthesis, are presented and experimentally evaluated.
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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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