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Subjective and objective quality assessment for color changed images

Color change is an important factor in image quality assessment (IQA). Changing color manually is a hard work and improper process may destroy the perceptual quality. This problem has been largely ignored in traditional IQA which mainly focused on evaluating blur, noise and compression loss, etc. One bottleneck in this field is the lack of databases. Existing databases have very few distortion types related with color changes. In this paper, we construct a new database specially designed for color changed IQA problem. We then test a majority of state-of-the-art IQA methods on this database and prove that existing algorithms are indeed not suitable for color changed distortion. Therefore, we build a novel matrix considering features in color theory and statistics. The new model can effectively evaluate the color changed image quality.