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

Author(s): Mohammad Reza Khosravi*

Journal Name: Current Signal Transduction Therapy

Volume 15 , Issue 2 , 2020


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Abstract:

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).

[1]
Gonzalez RC, Woods RE. Digital Image Processing. 3rd ed. Prentice Hall 2008.
[2]
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.
[http://dx.doi.org/10.4236/jgis.2017.92008]
[3]
Khosravi MR, Yazdi M. A lossless data hiding scheme for medical images using a hybrid solution based on IBRW error histogram computation and quartered interpolation with greedy weights. Neural Compute Appl 2018; 30: 2017-28.
[http://dx.doi.org/10.1007/s00521-018-3489-y]
[4]
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.
[http://dx.doi.org/10.22086/jbpe.v0i0.797]
[5]
Khosravi MR, Bahri-Aliabadi B, Salari SR, Samadi S, Rostami H, Karimi V. A tutorial and performance analysis on envi tools for sar image despeckling. Curr Signal Transduct Ther 2018; 15(2): 216-23.
[http://dx.doi.org/10.2174/1574362413666181005101315]


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Article Details

VOLUME: 15
ISSUE: 2
Year: 2020
Published on: 01 December, 2020
Page: [86 - 87]
Pages: 2
DOI: 10.2174/1574362414666190131105731

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