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hey guys welcome to the 20 second lecture of the diyp series this is anushka risky and today were going to understand image restoration so what is image restoration see when we studied image enhancement in our previous videos we have we were not aware of what kind of noise is present in the image so when we are enhancing the image we just enhancing it blindly okay but in image restoration we are already aware of the noise present in the image and therefore we are able to image we are able to restore the image more efficiently so an example of image restoration would be image blur removal okay for some reason if we have blurred the image then we can remove that blur from the image okay so restoration basically attempts to recover an image that has been degraded by using a prior knowledge of the degradation phenomena okay now there are different techniques for image restoration okay if the noise is additive noise okay if the degradation is due to additive noise then that is when we use