A review on: Different type of noise model in digital image processing

Pritom Kumer Rajvor, Syed Jamaluddin Ahmad, Suraiya Yasmin, Ali Hasan Dewan Rafi

noise model, digital image processing

The image plays an important role in the field of research in digital image processing. Digital image processing means processing digital image by use of computer through algorithm. Noise is a variation of brightness that may destroy part of an image. The unwanted signal of the noise can destroy image quality by changing the pixel value. Generally, Noise can always be seen during digital image processing, image acquisition, coding, transmission, and processing steps. Noise-free image is for various fields like Medical science, Astronomy, film industry, agriculture science, sports, machine vision, pattern recognition, and video processing in many more fields. To remove noise from the digital image, it is very hard without prior knowledge of noise. Distinguish the type of noise is very important for the reduction of noise from an original image. Types of noise effect in an image and its reduction technique. Several types of noise models are described in the review paper.