Due to the wide diffusion of multimedia applications and wide area screens-for example, video walls—the problem of image size conversion (especially image enlargement) has significantly increased in importance. Various image enlargement methods have been proposed so far [1], and they are split into multi-frame image enlargement methods and single-frame methods.
The multi-frame image enlargement is a process of combining multiple frames of low-resolution images in the same scene for the reconstruction of a single highresolution image. Many multi-frame image enlargement methods have been proposed up to now. For example, there are the frequency domain methods [2–4], the projection onto convex sets (POCS) methods [5, 6], and the maximum a posteriori (MAP) methods [7–9]. They can obtain good enlargement performance with respect to image quality. However, their computational complexity and storage consumption are tremendous. It is, therefore, very difficult to realize real-time processing by them.
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Kawano, H., Suetake, N., Cha, B., Aso, T. (2008). Image Enlargement Based on Low- to High-frequency Components Mapping Derived from Self-decomposed Images. In: Huang, X., Chen, YS., Ao, SI. (eds) Advances in Communication Systems and Electrical Engineering. Lecture Notes in Electrical Engineering, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74938-9_29
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