Skip to Main content Skip to Navigation
Journal articles

Simulating Human Visual Perception in Nighttime Illumination

Abstract : This paper presents an image-based algorithm for simulating the visual adaptation of the human visual system to various illuminations, especially in dark nighttime conditions. The human visual system exhibits different characteristics depending on the illumination intensity, with photopic vision in bright conditions, scotopic vision in dark conditions, and mesopic vision between these two. A computational model is designed to simulate multiple features of mesopic vision and scotopic vision, including the chromaticity change, luminance change, and visual acuity loss. The system uses a source image under bright illumination as input. Then assuming that the viewer has already adapted to the new conditions, the color spectrum of the input image is reconstructed to replace the source with modifications of the chromaticity and the luminance of the relighted scene. A bilateral filter is used to simulate the visual acuity loss. The model parameters have clear physical meanings and can be obtained from experimental data to achieve realistic results.The algorithm can be used not only for visual perception simulation, but also as a day-for-night tool to produce realistic nighttime images from daytime images.
Document type :
Journal articles
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/inria-00521845
Contributor : Ning Zhou Connect in order to contact the contributor
Submitted on : Tuesday, September 28, 2010 - 4:26:21 PM
Last modification on : Friday, February 4, 2022 - 3:32:40 AM
Long-term archiving on: : Wednesday, December 29, 2010 - 2:54:04 AM

File

night_vision.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Ning Zhou, Weiming Dong, Wang Jiaxin, Jean-Claude Paul. Simulating Human Visual Perception in Nighttime Illumination. Tsinghua Science and Technology, IEEE - Institute of Electrical and Electronics Engineers 2009, 14 (1), pp.133-138. ⟨10.1016/S1007-0214(09)70019-7⟩. ⟨inria-00521845⟩

Share

Metrics

Record views

143

Files downloads

275