Non-Reference Image Quality Assessment Based on Noise Estimation

In this paper a method for estimating mean opinion score for noisy images is presented. The focus is to create a robust method, which is not suited to the single image database. Algorithm is validated using three different databases, which shows that it is more generic than other methods. Moreover, proposed solution works as non-reference image quality assessment algorithm, which means that only distorted image is used for evaluation. Results obtained with proposed method are compared with two other algorithms designed for non-reference IQA.