Abstract
Image restoration, by eliminating noise and blur from an image, restores the original image. In certain cases, image blur is inevitable, and to eliminate blur caused by camera shake or radar imaging or to remove the effect of image system reaction, etc. There are many suggested methods for noise removal and our paper will investigate and address various models of noise and blur and methods of restoration. There are numerous techniques developed, the most efficient being the Wiener filter and is the fundamental noise reduction approach. Wiener filters may cause some undesired effects in image restoration (significant degradation in quality). Various techniques and models are approached in the establishment of the power spectrum of noise and undegraded images. In terms of noise reduction and image restoration, this paper studies the Wiener filter's assumption and quantitative performance improvement. The SNR is improved considerably. But noise reduction is directly proportional to image degradation. To counter this, we must have prior knowledge of the original image by some PDF (Probability Distribution Function).
Highlights
Being able to communicate is one of the most important blessings in life
Wiener Filter requires a prior knowledge of the power spectrum of noise (n (u, v)) as well as the image (f (u, v))
For all the related values of u and v, the noise power spectrum is zero, this ratio becomes zero and the Wiener filter is converted to the inverse filter.For better image reconstruction the image which is image the value of k should be maximized to a great extent
Summary
Being able to communicate is one of the most important blessings in life. This communication is very important to make others understand whatever we want to convey in a way understandable to them. Any kind of loss in these images can be a very big loss in the data set.Each time when the data is transmitted in the form of images from a sender to receiver, noise is being added to the images unwantedly. These create problems at a small scale and at larger scales. There arises the need to bring up some techniques to remove the noises added to images unwantedly This has contributed to the development of different techniques for image processing. The different aspects of image restoration will be discussed in this article
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