WHAT IS IMAGE DENOISING. Image denoising is a process of recovering an original image from the noisy image using some denoising method/ filter. Noise in the image is the high frequency component that is the random variation in the pixel values of the image.
- Image is collection of pixels. It is a representation of a scene.
- Denoise consists of two words i.e. De = eliminate and Noise = random signal that degrades most parts of the image.
- Image denoising can be defined as a process of eliminating any kind of random degradation from the image.
- It is one of the most researched area of the image processing.
- Noise degrades the image quality which makes the image difficult to interpret.
- In general, the noise in the image can be of any types i.e. blurring, random disturbance of intensity values etc. Any abrupt disturbance in the intensity values is called noise.
- Image denoising is a challenging task. Because before removing the noise from the image, it is important to understand the type of noise/ pattern of noise disturbance in the image and based on this noise pattern, the image denoising method is applied/designed.
- The noise pattern/ noise type means that there are basically two types of noise i.e. additive and multiplicative in nature.
- And based on these noise types the specified image denoising method is implied.
For more image processing topics refer: https://www.gofastresearch.com/
What is Image Denoising ?
Reviewed by IPR
on
April 13, 2020
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