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As the human eye on the image of different regions of the contrast sensitivity is different, it is particularly important to segment the image region more accurately in the image quality evaluation. Based on this, this paper presents a non-reference image region division method based on deep learning. Firstly, the Canny operator performs image edge detection at low threshold to obtain the strong edge...
With the rapid development of the usage of digital imaging and communication technologies, there appears a great demand for fast and practical approaches for image quality assessment algorithms which can match human judgments accurately. In this paper, we draw the human visual characteristics into no-reference image quality assessment field, and propose a no-reference image quality assessment method...
The theory of structure similarity (SSIM) is a new idea to evaluate the image quality by simulating the function of the human visual characteristics. Because the structure similarity model derived from this theory is very simple, it is widely used. However, the SSIM model only considered that human vision system can only extract the structure information of the image. This model is too limited. So...
Currently, Thinking Maps(TM) which includes eight kinds of sub graphs, has been a set of popular visual tools for learners to achieve the tasks of inductive and deductive thinking, dialogical thinking, metaphorical thinking and systemic dynamic thinking. But many of the researches focus on building these sub graphs manually. In this paper, after analyzing the features of e-Learners' behaviors, a method...
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