Adaptive bilateral filtering for super-resolution reconstruction of video sequences

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Abstract

The current multimedia consumer market is characterized by the advent of cheap but rather high-quality high definition displays, mostly for home theater applications. This trend is only partially supported by the deployment of high-resolution multimedia services, either over the Internet or through satellite channels. To address the resulting disparity between content and display formats, video super-resolution techniques represent a major solution. This subject is addressed in this paper, by exploiting the use of the bilateral filtering. This is a spatial filtering operator that relies on dynamically calculating a FIR kernel which has the major advantages of video content adaptability and edge preserving. Results are encouraging and suggest that the proposed method could be practically implemented. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

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Ginesu, G., Dessì, T., Atzori, L., & Giusto, D. D. (2012). Adaptive bilateral filtering for super-resolution reconstruction of video sequences. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (Vol. 77 LNICST, pp. 39–47). https://doi.org/10.1007/978-3-642-35155-6_4

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