Texture enhancement though multiscale mask based on RL fractional differential

Texture enhancement is one of the most important techniques in digital image processing. In order to enhance the image texture, extract more subtle texture information, and overcome the lack of classical gradient operator, a fractional differential two-dimensional discrete gradient operator based on the definition of RL fractional calculus is extended from one-dimensional operator though analyzing its spectrum. Tow-dimensional isotropic gradient operator mask based on the RL fractional differential was approximately made. The image was implemented through non-linear filter with this mask whose capability of enhancing was increased by controlling the intensity factor. Experimental results show that the operator can extract more subtle information and make the edges more prominent. Compared with the classical Laplacian operator and so on, the proposed method has outstanding promotive effect in texture enhancement.