earticle

영어

This paper proposes a new deinterlacing method using fuzzy entropy-based cost function to select possible image deinterlacing methods. The classical entropy was presented by Shannon, which is widely used in information and communication theory. Apart from Shannon’s entropy, fuzzy entropy deals with vagueness and ambiguous uncertainties. The obtained fuzzy entropy map becomes criteria to select the best method to interpolate missing pixel and upsample the low-resolution image. The experimental results describe that our proposed method is superior to conventional methods.