在大型和可扩展图像的插值机制的增强

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI:10.1109/ICSCN.2017.8085683

A. Ramesh, A. Karpagam, M. Manikandan

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引用次数: 0

摘要

本文重点研究了插补机制的改进。针对大型可扩展合成孔径雷达(SAR)，提出了利用插值方法重建高分辨率图像的方法。为了增强感兴趣区域，在SAR成像中实现了图像插值技术。针对大规模、适应性强的图像再现问题，提出了一种基于感兴趣区域的分块方法，并给出了一种成功的分割标准，即根据源图像的感兴趣区域将生成图像分割成块。基于感兴趣块区域的插值降低了计算复杂度，仿真结果表明，插值质量与其固有复杂度高度相关。本文旨在产生无模糊的感兴趣区域图像。通过MATLAB上的实验仿真结果得到的各种参数，观察插值技术的有效性。

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Enhancement of interpolation mechanism in large and scalable images

This paper focus on enhancement of interpolation mechanism. Reconstruction of the high-resolutionimage is proposed using interpolation method for large and scalable Synthetic Aperture Radar (SAR). Image interpolation techniques are implemented in SAR imaging for enhancing Region of Interest. Block Region of Interest (B-ROI) technique is proposed for huge and adaptable image reproduction and it gives a successful standard to dividing, which portions the yield image into block in view of the ROI in the source image. Interpolation based on block region of interest reduces the computational complexity and the simulation results show that the interpolation quality is highly related to its inherent complexity. This paper is aimed to produce ROI image region without blur. Validation of interpolation techniques is observed through various parameter obtained from experimental simulation results on MATLAB.

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2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)

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