A COMPARISON OF VARIOUS IMAGE IN-PAINTING ALGORITHMS
International Research Journal of Modernization in Engineering Technology and Science · 2024
Image restoration is a crucial aspect in diverse applications such as medical imaging, remote sensing, and astronomy.Its primary objective is to recover the pristine, unaltered image from a deteriorated version that has been affected by noise, blur, or other distortions.There exists a multitude of image restoration algorithms, each possessing distinct strengths and weaknesses.This paper undertakes a thorough comparative analysis of three extensively utilized image restoration algorithms: SIFT, TELEA, and PDE.We found that comparative analysis of these three extensively utilized image restoration algorithm is SIFT.