Abstract
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.
Original language | English |
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Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
DOIs | |
State | Published - 2016 |
Event | Visual Information Processing and Communication VII 2016 - San Francisco, United States Duration: Feb 14 2016 → Feb 18 2016 |
Bibliographical note
Publisher Copyright:© 2016 Society for Imaging Science and Technology.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics