REMOVAL OF BLURRED PARAMETERS FOR INCREASING OF SNR OF NOISY IMAGE USING BEMD PLUS PDE

Abstract

Lots of digital image processing is dedicated to retrieving images. This includes research on algorithm development and image processing focused on the same goal. Image restoration is the removal or reduction of damage that occurs when an image was received. Visual information transmitted in the form of digital images becomes a major means of communication in modern times, but the image obtained after the transmission is often distorted by sound. The acquired image needs to be processed before it can be used in applications. Image output involves the manipulation of image data to produce a high quality image visually. This thesis reviews existing denoising algorithms, such as filtering, wave-based method, and multifractal method, and conducts their comparative research.