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Fast Content Adaptive Interpolation Algorithm Using One-Dimensional Patch-Based Learning  

Kang, Young-Uk (School of Electronic Engineering, Inha University)
Jeong, Shin-Cheol (School of Electronic Engineering, Inha University)
Song, Byung-Cheol (School of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.1, 2011 , pp. 54-63 More about this Journal
Abstract
This paper proposes a fast learning-based interpolation algorithm to up-scale an input low-resolution image into a high-resolution image. In conventional learning-based super-resolution, a certain relationship between low-resolution and high-resolution images is learned from various training images and a specific high frequency synthesis information is derived. And then, an arbitrary low resolution image can be super-resolved using the high frequency synthesis information. However, such super-resolution algorithms require heavy memory space to store huge synthesis information as well as significant computation due to two-dimensional matching process. In order to mitigate this problem, this paper presents one-dimensional patch-based learning and synthesis. So, we can noticeably reduce memory cost and computational complexity. Simulation results show that the proposed algorithm provides higher PSNR and SSIM of about 0.7dB and 0.01 on average, respectively than conventional bicubic interpolation algorithm.
Keywords
Learning; super-resolution; one-dimensional patch; directional interpolation;
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Times Cited By KSCI : 1  (Citation Analysis)
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