All Outputs (4)

Photographer-guided attributes for underwater image aesthetics (2024)
Journal Article
Emberton, S., & Simons, C. (2024). Photographer-guided attributes for underwater image aesthetics. Quality and User Experience, 9, Article 1. https://doi.org/10.1007/s41233-024-00065-y

Automated aesthetic assessment of photographs is an active research area with applications in image editing and retrieval. There are many suggestions on the various factors of importance in making an image ‘good’ or ‘aesthetically pleasing’. However,... Read More about Photographer-guided attributes for underwater image aesthetics.

Users’ experiences of enhancing underwater images: An empirical study (2021)
Journal Article
Emberton, S., & Simons, C. (2021). Users’ experiences of enhancing underwater images: An empirical study. Quality and User Experience, 7(1), Article 1. https://doi.org/10.1007/s41233-021-00048-3

Within the worldwide diving community, underwater photography is becoming increasingly popular. However, the marine environment presents certain challenges for image capture, with resulting imagery often suffering from colour distortions, low contras... Read More about Users’ experiences of enhancing underwater images: An empirical study.

Underwater image and video dehazing with pure haze region segmentation (2017)
Journal Article
Emberton, S., Chittka, L., & Cavallaro, A. (2018). Underwater image and video dehazing with pure haze region segmentation. Computer Vision and Image Understanding, 168, 145-156. https://doi.org/10.1016/j.cviu.2017.08.003

© 2017 The Authors Underwater scenes captured by cameras are plagued with poor contrast and a spectral distortion, which are the result of the scattering and absorptive properties of water. In this paper we present a novel dehazing method that improv... Read More about Underwater image and video dehazing with pure haze region segmentation.

Sensor capability and atmospheric correction in ocean colour remote sensing (2015)
Journal Article
Emberton, S., Chittka, L., Cavallaro, A., & Wang, M. (2016). Sensor capability and atmospheric correction in ocean colour remote sensing. Remote Sensing, 8(1), https://doi.org/10.3390/rs8010001

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Accurate correction of the corrupting effects of the atmosphere and the water's surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from... Read More about Sensor capability and atmospheric correction in ocean colour remote sensing.