A Review Paper: Noise Models in Digital Image Processing
This is a review paper that summarizes existing knowledge on noise models, which is essential for image denoising techniques, but it is incremental as it does not introduce new methods or data.
The paper provides a brief overview of various noise models in digital image processing, presenting a complete and quantitative analysis of these models based on their origins.
Noise is always presents in digital images during image acquisition, coding, transmission, and processing steps. Noise is very difficult to remove it from the digital images without the prior knowledge of noise model. That is why, review of noise models are essential in the study of image denoising techniques. In this paper, we express a brief overview of various noise models. These noise models can be selected by analysis of their origin. In this way, we present a complete and quantitative analysis of noise models available in digital images.