[1910.11336] Handheld Mobile Photography in Very Low Light

Taking photographs in low light using a mobile phone is challenging and rarely produces pleasing results. Aside from the physical limits imposed by read noise and photon shot noise, these cameras are typically handheld, have small apertures and sensors, use mass-produced analog electronics that cannot easily be cooled, and are commonly used to photograph subjects that move, like children and pets. In this paper we describe a system for capturing clean, sharp, colorful photographs in light as low as 0.3~lux, where human vision becomes monochromatic and indistinct. To permit handheld photography without flash illumination, we capture, align, and combine multiple frames. Our system employs "motion metering", which uses an estimate of motion magnitudes (whether due to handshake or moving objects) to identify the number of frames and the per-frame exposure times that together minimize both noise and motion blur in a captured burst. We combine these frames using robust alignment and merging

4 mentions: @fadis_@yoya@daikiyamanaka@k_matsuzaki
Date: 2019/11/06 03:59

Referring Tweets

@fadis_ レンズが小さくノイズを抑える工夫も難しく照明も無いスマートフォンのカメラで暗いシーンを撮影する方法に関する論文。バースト撮影した画像から動きを検出してブレない最大期間の画像を集めてノイズ除去、暗いシーンは大抵色が偏っているのでCNNで白色光の下での色を推定 t.co/dR6NR01fLY
@yoya t.co/UeUq6J9xOD (PDFは105MB) バースト撮影MISRや低輝度での白点推定の他に、 "Additionally, we apply local tone mapping that brightens the shadows without over-clipping highlights or sacrificing global contrast." これが気になる。そんな都合のよい事どうやって実現してるんだろ。
@k_matsuzaki 今日はarxiv遅いなーと思ってたけど、そうじゃなくて115MBあるのかこの論文… t.co/Ypy7MzUpml