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Survey of Image De-Noising on Square Structure and Hexagonal Structure

Image de-noising is one of the foremost challenges in the field of computer vision image processing. The aim of the image de-noising is to estimate the original image by overwhelming noise from a noisy image. Usually the noise is introduced in the images during image acquisition (digitization) or during image transmission. Commotion evacuation is as yet an astounding issue for analysts. There have been a few distributed calculations and each approach has its suspicions, points of interest, and restrictions. This paper displays an audit of some huge work in the territory of image denoising utilizing square and hexagonal structure. After a concise presentation, some mainstream approaches are arranged into various gatherings and a diagram of different calculations and investigation is given. Bits of knowledge and potential future patterns in the zone of denoising are additionally talked about.