Comparative Study Of Biorthogonal Wavelets Accuracy In Demosaicing Algorithm Based On Wavelet Analysis Of Luminance Component

Norbert Hounsou (1) , Amadou Sanda Mahama (1) , Pierre Gouton (2) , Jean-Baptiste Thomas (3)

1 UAC - Université d’Abomey-Calavi = University of Abomey Calavi
2 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
3 NTNU - Norwegian University of Science and Technology

Critical issues in demosaicing are visual artifacts appearing in reconstructed images. Many algorithms have been proposed to overcome this problem. In this work, we have performed a comparative study of some conventional and recent color image demosaicing algorithms and identified experimentally the one that gives good results. From our investigation, algorithm based on wavelets analysis of the luminance component, is the best. Biorthogonal wavelets are recommended to be used in this algorithm. We then experiment famous bi-orthogonal wavelets to identify the best one. We conclude that Mallat's bi-orthogonal wavelets give the best reconstruction results according to CPSNR and FSIMc measures.

Domains: Computer Science [cs]; Image Processing [eess.IV]

Norbert Hounsou, Amadou Sanda Mahama, Pierre Gouton, Jean-Baptiste Thomas. Comparative Study Of Biorthogonal Wavelets Accuracy In Demosaicing Algorithm Based On Wavelet Analysis Of Luminance Component. Electronic Imaging, 2018, 30 (16), pp.362. ⟨10.2352/ISSN.2470-1173.2018.16.COLOR-362⟩. ⟨hal-03595722⟩