An image quality assessment dataset for portraits

N Chahine, S Calarasanu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Year after year, the demand for ever-better smartphone photos continues to grow, in
particular in the domain of portrait photography. Manufacturers thus use perceptual quality …

Generalized portrait quality assessment

N Chahine, S Ferradans, J Vazquez-Corral… - Pattern Recognition …, 2025 - Elsevier
Automated and robust portrait quality assessment (PQA) is of paramount importance in high-
impact applications such as smartphone photography. This paper presents FHIQA, a …

Convolutional neural networks for omnidirectional image quality assessment: A benchmark

A Sendjasni, MC Larabi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we conduct an extensive study on the use of pre-trained convolutional neural
networks (CNNs) for omnidirectional image quality assessment (IQA). To cope with the lack …

[HTML][HTML] Image Quality Difference Perception Ability: A BIQA model effectiveness metric based on model falsification method

J Zhu, X Ma, D Yu, Y Li, Y Zhao - Expert Systems with Applications, 2025 - Elsevier
Abstract Blind Image Quality Assessment (BIQA) methods refer to algorithms that predict
image quality scores without reference images. This challenging area is crucial for …

Fruit Disease's Identification and Classification Using Deep Learning Model

MA Matboli, A Atia - 2022 2nd International Mobile, Intelligent …, 2022 - ieeexplore.ieee.org
Now days Fruits is being produced from alot of countries as the global fruit production
reached up to 2914.27 production in thousand metric tons and in the upcoming years a lot of …