EFFECTIVE FEATURE ANALYSIS TOTALLY BLIND IMAGE QUALITY VALUATION

In our daily life, digital visual information is attached. Various distortions are introduced during the sharing, transmission or storage of digital information. Image quality evaluation refers to determination of image quality because various image processing applications depend on information. There are two ways to measure subjective and objective picture quality. People use the Mean Opinion Score (MOS) method to determine the subjective method of image quality. In recent years there has been growing interest in developing an objective image quality assessment (IQA) model that not only monitors image quality degradation and baseline image processing system but also helps to optimize various image and video processing algorithms and systems there. Past performance is worthy of praise, but there are some important issues to face when applying existing IQA models to real world applications. For this, there are issues such as greatly reducing the complexity of the existing IQA algorithm, making it easy to use and easy to understand