Summary
In this paper we propose a simple but efficient method for increasing resolution of digital images. Such algorithms are needed in many practical applications like for example digital zoom in camcorders or conversion between conventional TV content and high resolution HDTV format. In general the main problem when converting an image to higher resolution is the lack of high frequency components in the resulting image. The result is the blurry aspect of images obtained using conventional algorithms like, for example, commonly used bilinear or bicubic interpolation. High frequency components in the frequency domain correspond to the image edges in the spatial domain. Building on this simple constatation here we propose to reconstruct high frequency components and sharp aspect of resulting images using edge information.
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Świerczyński, Z., Rokita, P. (2009). Low-Cost Adaptive Edge-Based Single-Frame Superresolution. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_6
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DOI: https://doi.org/10.1007/978-3-540-93905-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-93904-7
Online ISBN: 978-3-540-93905-4
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