Název:	ALIVE: Adaptive-Chromaticity for Interactive Low-light Image and Video Enhancement
Autoři:	Shekhar, Sumit Reimann, Max Wattaseril, Jobin Idiculla Semmo, Amir Döllner, Jürgen Trapp, Matthias
Citace zdrojového dokumentu:	Journal of WSCG. 2023, vol. 31, no. 1-2, p. 11-24.
Datum vydání:	2023
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	http://hdl.handle.net/11025/54280
ISSN:	1213 – 6972 (hard copy) 1213 – 6980 (CD-ROM) 1213 – 6964 (on-line)
Klíčová slova:	reálný čas;interaktivní;slabé světlo;obraz;video;zvýšení
Klíčová slova v dalším jazyce:	real-time;interactive;low-light;image;video;enhancement
Abstrakt v dalším jazyce:	Image acquisition in low-light conditions suffers from poor quality and significant degradation in visual aesthetics. This affects the visual perception of the acquired image and the performance of computer vision and image pro cessing algorithms applied after acquisition. Especially for videos, the additional temporal domain makes it more challenging, wherein quality is required to be preserved in a temporally coherent manner. We present a simple yet effective approach for low-light image and video enhancement. To this end, we introduce Adaptive Chromaticity, which refers to an adaptive computation of image chromaticity. The above adaptivity avoids the costly step of low-light image decomposition into illumination and reflectance, employed by many existing techniques. Subse quently, we achieve interactive performance, even for high resolution images. Moreover, all stages in our method consists of only point-based operations and high-pass or low-pass filtering, thereby ensuring that the amount of temporal incoherence is negligible when applied on a per-frame basis for videos. Our results on standard low-light image datasets show the efficacy of our method and its qualitative and quantitative superiority over several state of-the-art approaches. We perform a user study to demonstrate the preference for our method in comparison to state-of-the-art approaches for videos captured in the wild.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 31, Number 1-2 (2023)

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