A Survey on different Filters for Noise Reduction in Digital Images
Anusha CH · International Journal for Research in Applied Science and Engineering Technology · 2019
Image processing still faces the challenge of reducing noise from images. Noise is always present in digital images during image acquisition, coding, transmission and processing steps. Noise is very difficult to remove from digital images without the prior knowledge.Image processing proves to be very successful in permitting and extended range of algorithms to be applied to input data set in the form of image and regain decisive results.These algorithms lean to avoid problems such as noise and signal distortion.So, in this paper, we express a brief overview of various noise models and the survey on filters which are used to remove the noise from the images.By using these filters we can achieve an image after noise removal which having higher clarity in terms of both interpretation and analysis for study in different fields and this paper is to be analyzed the filters those are Mean, median ,adaptive median and wiener filter used to reduce noises such as Gaussian, Salt and pepper and Speckle noise.