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Current Signal Transduction Therapy


ISSN (Print): 1574-3624
ISSN (Online): 2212-389X


Single- and Multi-Step Image Enlargement for Medical Image Coding

Author(s): Mohammad Reza Khosravi*

Volume 15 , Issue 2 , 2020

Page: [86 - 87] Pages: 2

DOI: 10.2174/1574362414666190131105731


Background: Some interpolators cannot be used in an image magnification problem in a freely scalable form. For instance, when we want to magnify an image to a 16-time bigger scale, some interpolators have to do this process in two steps including two 4-time magnification steps, however, some are able to do it directly.

Materials and Methods: For generating data of this study, MATLAB as a simulator has been used. Bi-; Linear (BL) and Cubic Convolution (CC) interpolators are the two applied re-samplers in the reconstruction of digital images.

Results: Data shows that the performance of both free-size interpolators (BL and CC) is obviously different in both direct and indirect pixel reconstruction.

Conclusion: The acquired data shows a less error in the condition of direct interpolation. The relative results of experiments are different from the type of core interpolators (BL and CC).

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Khosravi MR, Sharif-Yazd MR, Moghimi MK, Keshavarz A, Rostami H, Mansouri S. MRF-based multispectral image fusion using an adaptive approach based on edge-guided interpolation. J Geogr Inf Syst 2017; 9: 114-25.
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Akbarzadeh O, Khosravi MR, Khosravi B, Halvaee P. Medical image magnification based on original and estimated pixel selection models. J Biomed Phys Eng 2018; 10(3): 357-66.
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