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CSUID - Comprehensive synthetic underwater image dataset.
Purnima, Kuruma; Kumar, C Siva.
Afiliación
  • Purnima K; Mohan Babu University, Tirupati, India.
  • Kumar CS; Mohan Babu University, Tirupati, India.
Data Brief ; 55: 110723, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39156666
ABSTRACT
The underwater environment is characterized by complex light traversal, encompassing effects such as color loss, contrast loss, water distortion, backscatter, light attenuation, and color cast, which vary depending on water purity, depth, and other factors. The dataset presented in this paper is prepared with 100 ground-truth images and 1,50,000 synthetic underwater images. This dataset approximates the effects of underwater environment with implementable combinations of color cast, blurring, low-light, and contrast reduction. These effects and their combinations, with different severity levels are applied to each ground-truth image to generate as many as 150 synthetic underwater images. In addition to the dataset of 1,50,100 images, a comprehensive set of 21 focus metrics, including the average contrast measure operator, Brenner's gradient-based metric, and many others, are calculated for each image.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS