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

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

Volume: 15 Issue: 2

Author(s): Mohammad Reza Khosravi*

Affiliation:

• Department of Electrical and Electronic Engineering Shiraz University of Technology, Shiraz,Iran

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).

Cite this article as:

Khosravi Reza Mohammad *, Single- and Multi-Step Image Enlargement for Medical Image Coding, Current Signal Transduction Therapy 2020; 15 (2) . https://dx.doi.org/10.2174/1574362414666190131105731