Filtering Techniques to remove Noises from an Image
Narasimha Reddy Soora, Swathy Vodithala, Jwala Sri Hari Badam · 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) · 2022
Now a days a lot real world applications are based on image processing. In image processing after image acquisition, the next step is pre-processing stage. The main objective of pre-processing stage is to make the image appear visually better to the end user by removing noise using various filtering techniques. Filtering techniques change the look and feel of the image using its pixel information. There are various kinds of noise present in an image like salt pepper noises, blur, Gaussian noises, periodic noises, etc. These noises can be removed by various kinds of spatial and frequency domain filtering techniques like mean filters, median filters, Weiner filters and many more. This paper presents the effect of various kinds of filtering techniques on noisy images.