Design of a Gabor Filter-Based Image Denoising Hardware Model

The intervention of noise into images during data acquisition and transmission is inevitable. Hence, the denoising such affected essential in order to have effective image analysis where it needs filtering. Gabor filter widely adapted various processing applications for feature extraction, texture analysis, pattern etc. Gabor-based filtering technique adopted work aimed extract edges. design a low-power portable system deploys hardware accelerators achieve high performance per watt extraction edge detection. In this paper, an accelerator model mapped from function. Moreover, models realizing parameters involved function are also presented. A MATLAB proposed simulated measured terms peak-signal-to-noise ratio, mean square error, histograms compared with algorithm level reported literature. It observed that architecture showed better mathematical However, key limitation degradation due truncation or rounding sample’s word length.