Spatially adaptive color image processing

Johan Debayle (1, 2, 3) , Jean-Charles Pinoli (1, 2, 3)

1 LGF-ENSMSE - Laboratoire Georges Friedel
2 SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels
3 PROPICE-ENSMSE - Département PROcédés Poudres, Interfaces, Cristallisation et Ecoulements

This chapter is focused on spatially adaptive image processing for color images in the context of the General Adaptive Neighborhood Image Processing (GANIP) approach. The GANIP was first defined for gray-tone images and is here extended to color images. A set of local adaptive neighborhoods is defined for each image point, depending on the color intensity function of the image. These adaptive neighborhoods are then used as spatially adaptive operational windows for defining adaptive Choquet filters and adaptive morphological filters. The resulting adaptive operators are successfully applied and compared with the classical operators for image restoration, enhancement and segmentation of color images.

Mots clés: Color adaptive neighborhood; Choquet filtering; General adaptive neighborhood; Image enhancement; Image restoration; Image segmentation; Mathematical morphology

Domaines: Génie des procédés; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Johan Debayle, Jean-Charles Pinoli. Spatially adaptive color image processing. M. Emre Celebi ([e-mail]) ; Bogdan Smolka ([e-mail]). Advances in low-level color image processing, Springer-Verlag, pp.195-222, 2014, Lecture Notes in Computational Vision and Biomechanics, Volume 11, 978-94-007-7583-1 // 978-94-007-7584-8. ⟨10.1007/978-94-007-7584-8_6⟩. ⟨hal-01013899⟩