Color correction for stereo and multiview coding

Sid Ahmed Fezza (1) , Mohamed-Chaker Larabi (2, 3)

1 Université d'Oran 2 Mohamed Ben Ahmed [Oran]
2 UP - Université de Poitiers = University of Poitiers
3 XLIM-ASALI - Synthèse et analyse d'images

Nowadays, various multimedia applications use multi-view video (MVV), which is obtained by capturing the same scene with multiple cameras from varying viewpoints. Therefore, illumination and color variations can be observed among the different views. These color inconsistencies can significantly reduce compression efficiency and rendering quality. Various methods have been proposed in the literature to compensate for these color mismatches. In this chapter, we review the commonly used color correction techniques for MVV, with a focus on coding applications. Experimental evaluations of the most prominent methods are provided to give the reader the opportunity to compare their performances in terms of visual effect, coding performance, and rendering quality.

Domaines: Traitement du signal et de l'image [eess.SP]

Sid Ahmed Fezza, Mohamed-Chaker Larabi. Color correction for stereo and multiview coding. Emre Celebi, Michela Lecca, and Bogdan Smolka. Color Image and Video Enhancement, Springer International Publishing, pp.291-314, 2015, ⟨10.1007/978-3-319-09363-5_10⟩. ⟨hal-01159306⟩