ABSTRACT
Denoising is a task in image processing and computer vision that aims to predict original pictures by suppressing noise in the noisy image version. Despite the findings, there are still many worries. Denoising fuzzy photos is challenging due to minuscule prints and small image grains that make denoising difficult. Noise in pictures is generated by a variety of internal or external factors and is tough to deal with. Image distortion is a significant difficulty in image processing and computer vision. As a result, it’s valuable in a variety of industries where restoring the original picture is essential for maintaining constant performance. This study develops a complete and robust method for encoding a denoiser automatic encoder (DAE), which eliminates image noise and eliminates image clutter.
