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http://dx.doi.org/10.5909/JBE.2014.19.1.118

Fast Multiple Mixed Image Interpolation Method for Image Resolution Enhancement  

Kim, Won-Hee (Pukyong National University, Department of IT convergence and application engineering)
Kim, Jong-Nam (Pukyong National University, Department of IT convergence and application engineering)
Jeong, Shin-Il (Pukyong National University, Department of information and communication engineering)
Publication Information
Journal of Broadcast Engineering / v.19, no.1, 2014 , pp. 118-121 More about this Journal
Abstract
Image interpolation is a method of determining the value of new pixel coordinate in the process of image scaling. Recently, image contents are likely to be a large-capacity, interpolation algorithm is required to generate fast enhanced result image. In this paper, fast multiple mixed image interpolation for image resolution enhancement is proposed. The proposed method estimates expected 12 shortfalls from four sub-images of a input image, and generates the result image that is interpolated in the combination of the expected shortfalls with the input image. The experimental results demonstrate that PSNR increases maximum value of 1.9dB, SSIM increases maximum value of 0.052, and the subjective quality is superior to any other compared methods. Moreover, it is known by algorithm running time comparison that the proposed method has been at least three times faster than the compared conventional methods. The proposed method can be useful for application on image resolution enhancement.
Keywords
image interpolation; image enhancement; image restoration;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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