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The goal of super-resolution (SR) techniques is to enhance the resolution of low-resolution (LR) images. How to evaluate the performance of an SR algorithm seems to be forgotten when researchers keep producing algorithms. This paper presents a task-oriented method for evaluating SR techniques. Our method includes both objective and subjective measures and is designed from the viewpoint of how SR impacts...
Painting artworks, especially those having surreal or super-rational elements, are difficult for ordinary people to deeply appreciate in a static exhibiting manner. We believe that bringing interactivity to an existing painting would have benefits of emphasizing the theme, encouraging active and collaborative learning, and compensating its aura. To this end, in this paper we present DALI (Dalí's...
Image enhancement is important for images captured in low contrast and low illumination conditions. In this study, we propose a new iterative algorithm for image enhancement based on analysis on embedded surfaces of images. In our method, scaled surface area and the surface volume are proposed and used to reconstruct the image iteratively for contrast enhancement, and the illumination of the reconstructed...
Image binarization is an important preceding task in image processing and analysis. But the effect of common methods such as Ostu and Bernen are not well when the image's luminance isn't equal or the contrast is deficient etc. So, a binarization method based on spatial distributing and improved maximum variance is used in this paper. This method combined the characteristic of image's spatial distributing...
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