Abstract:

Aliasing-removing technique is one of the most important methods in the field of image processing. Almost every existing aliasing-removing algorithm is spatial-domain based, neglecting the fact that aliasing is naturally frequency-component mixing at frequency domain, and the undesirable visual effect of aliasing is just a phenomenon in spatial-domain. Inspired by such fact, in this paper, a novel imaging imaging-mechanism analysis based aliasingremoving algorithm is proposed, breaking through the limitation of existing methods that reduce aliasing in spatial domain. Based on the analysis of the cause for aliasing in view of sensor imaging process, fractal technique is introduced so as to compensate for the missing high-frequency component, and thus accomplish aliasing-removing. The experiment results show that the proposed method can not only remove visual artifacts in spatial domain, brought by aliasing, but also recover more high-frequency component information in frequency domain.