Abstract
For scenes with high dynamic range, smartphone cameras may clip highlights, which can result in the loss of crucial scene details that are visible to the human eye and can cause the photographs to be aesthetically unappealing and/or appear artificial. Manual multi-exposure photography requires extensive manual editing, while automatic multi-exposure fusion techniques demand meticulous alignment of multiple frames at capture time to prevent artifacts. Per techniques of this disclosure, the captured dynamic range is extended at capture time through a new capture strategy that includes captures of an ultra-short exposure frame (bracketing frame) and a dedicated RAW image creation pipeline. A clipped acquired frame is automatically aligned and merged with the highlights region of the bracketing frame to obtain an output image that retains highlights. At the time of displaying the image, a RAW rendition pipeline is utilized. The rendition pipeline is designed to optimally display highlight details on displays capable of high dynamic range. The described techniques are entirely automatic. no manual intervention is necessary to obtain a high dynamic range (HDR) image.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Maia, Henrique Teles; Qiu, Jack; Lai, Wei-Sheng; Chow, Woody; Kuroda, Shota; Klopp, Jan; Kae, Andrew; Geiss, Ryan; Bleibel, Francois; Tsai, Sung-fang; Pang, Derek; and Shih, Yichang, "Highlight Recovery Using Multi-exposure Fusion and Floating-point Tone-mapping", Technical Disclosure Commons, (August 09, 2024)
https://www.tdcommons.org/dpubs_series/7271