Secured Information Communication Exploiting Fuzzy Weight Strategy

This work uses the fuzzy weight strategy to construct a novel image interpolation method. By taking into account the fuzzy weight value of each pair of pixels in a chosen block, the interpolated pixel values are created. Each input pixel pair’s fuzzy membership values have been taken to represent the range between the block’s minimum and maximum value. The input membership value is fed into the fuzzy output function, which calculates the fuzzy rule’s strength using the Max–Min composite principle. Then, through a defuzzification process, interpolated pixel values are calculated from the fuzzy output function dependent on the strength of the fuzzy rule. In actuality, fuzzy weight based interpolation algorithms create virtual pixels, which are superior to the interpolation techniques now in use. The results of the experiments show that the suggested method almost always produced images with the highest PSNR. So, in the suggested technique, the FWS was used to generate the improved cover image.