Due to advancement in technology we might have a large amount of the data but there is always concern about the usability .For example in images like X-rays , MRI, CT scans, Ultrasound, etc., when original images are put in the paper the quality degrades, due to which the accuracy of the decision model degrades.These images are susceptible to noise.
Therefore Image denoising is used to suppress noise from noise-contaminated images , is required for image analysis and an important preprocessing step in image analysis.Also many algorithms have been proposed with different performance rates but deep learning convolutional method has outperformed all methods .