Howtosignalprocessing
- What is image denoising?
- What are the two types of image compression?
- What is the difference between compression and filtering?
- Why is image denoising required?
What is image denoising?
Image denoising is to remove noise from a noisy image, so as to restore the true image. However, since noise, edge, and texture are high frequency components, it is difficult to distinguish them in the process of denoising and the denoised images could inevitably lose some details.
What are the two types of image compression?
There are two kinds of image compression methods - lossless vs lossy.
What is the difference between compression and filtering?
In compression, the goal is to represent a given signal with a minimum amount of data. If digital data is already available, the goal is thus typically to reduce the amount of data. In filtering, the goal is typically to extract certain parts of the signal by suppressing others.
Why is image denoising required?
Therefore, image denoising plays an important role in a wide range of applications such as image restoration, visual tracking, image registration, image segmentation, and image classification, where obtaining the original image content is crucial for strong performance.
