An Image Quality Synthetic Evaluation Method Based On Masking Effect

In the study of image quality evaluation method, the HVS model serves as an important position, it makes the image quality evaluation results are more consistent with human subjective feelings, greatly overcome the disadvantages of traditional image quality evaluation method. Because HVS model relates to the human physiological characteristics, it brings a certain degree of difficulty to research work. For this, we need to research each component of the HVS model separately. Masking effect as part of the HVS model, it’s research is the only way which must be passed to the HVS model in-depth understanding, is also the foundation stone of image quality evaluation method development road.This paper focuses on the study of masking model, gives new image quality assessment methods based on different types of standard image, and further investigated the impact of the error image on the image quality evaluation model. Major research work and achievements are as follows:1. Summarize the existing knowledge on the masking effect, and make notes of each masking effect’s physical concepts, experimental parameters and calculate formula and other content to.2. According to Weber-Fechner’s law, it gives a detailed methods, procedures and results of masking threshold measurements. The masking threshold calculation results are applied to the calculation of masking effect model.3. For different types of masking effect, we have given the corresponding image quality evaluation method, which contains the basic idea, the mathematical model and the programming steps. Analyze the experimental results.4. Combining spatial similarity and masking effect, this paper presents the image quality evaluation method based on masking model and spatial similarity. The method examines the error image’s unrelated component and related component, and makes a comparison on the two error component’s unrelated component and three error component’s unrelated component. Through the experimental platform and a large number of investigation of image, we can get the experimental data and analysis results.After a lot of experiments proved that this method has obviously improved, and more closer to the human subjective experience than the traditional methods.