Perceptual image enhancement for smartphone real-time applications
Conde, Marcos V. (University of Wurzburg. Computer Vision Lab)
Vasluianu, Florin (University of Wurzburg. Computer Vision Lab)
Vázquez i Corral, Javier (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Timofte, Radu (University of Wurzburg. Computer Vision Lab)

Data:	2023
Descripció:	11 pàg.
Resum:	Recent advances in camera designs and imaging pipelines allow us to capture high-quality images using smartphones. However, due to the small size and lens limitations of the smartphone cameras, we commonly find artifacts or degradation in the processed images. The most common unpleasant effects are noise artifacts, diffraction artifacts, blur, and HDR overexposure. Deep learning methods for image restoration can successfully remove these artifacts. However, most approaches are not suitable for real-time applications on mobile devices due to their heavy computation and memory requirements. In this paper, we propose LPIENet, a lightweight network for perceptual image enhancement, with the focus on deploying it on smartphones. Our experiments show that, with much fewer parameters and operations, our model can deal with the mentioned artifacts and achieve competitive performance compared with state-of-the-art methods on standard benchmarks. Moreover, to prove the efficiency and reliability of our approach, we deployed the model directly on commercial smartphones and evaluated its performance. Our model can process 2K resolution images under 1 second in mid-level commercial smartphones.
Ajuts:	Agencia Estatal de Investigación PID2021-128178OB-I00
Nota:	Altres ajuts: this work was partly supported by the 'Ayudas para la recualificacion del sistema universitario español' financed by the European Union-NextGenerationEU.
Drets:	Aquest material està protegit per drets d'autor i/o drets afins. Podeu utilitzar aquest material en funció del que permet la legislació de drets d'autor i drets afins d'aplicació al vostre cas. Per a d'altres usos heu d'obtenir permís del(s) titular(s) de drets.
Llengua:	Anglès
Document:	Capítol de llibre ; recerca ; Versió acceptada per publicar
Matèria:	Applications: Smartphones/end user devices ; Embedded sensing/real-time techniques ; Visualization
Publicat a:	2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, p. 1848-1858, ISBN 9781665493468

DOI: 10.1109/WACV56688.2023.00189

Postprint

El registre apareix a les col·leccions:
Llibres i col·leccions > Capítols de llibres