光电工程, 2013, 40 (2): 110, 网络出版: 2013-03-05   

基于线性插值和正弦灰度变换的红外图像放大

Infrared Image Magnification Algorithm Based on Linear Interpolation and Sine Gray Level Transformation
作者单位
嘉应学院电子信息工程学院, 广东 梅州 514015
摘要
将线性插值与正弦灰度变换增强二者有机结合, 提出一种新的红外图像插值放大方法。先采用双线性插值法计算插值点的初步插值, 然后采用 S形正弦灰度变换曲线进行增强处理作为最终插值。充分利用线性插值具有的算法简单、计算量小优势, 同时又克服了线性插值带来的图像边缘模糊缺限。实验结果表明, 本文方法的插值效果优于传统的双线性插值法。
Abstract
Organically combined linear interpolation and sine gray level transformation, a new infrared image interpolation and zooming method has been proposed. Firstly, bilinear interpolation method is adopted to calculate the interpolation points as the preliminary interpolation. And then S-shaped sine gray transformation curve is used to enhance processing as the final interpolation. The method makes full use of the simple algorithm and small computational amount of the linear interpolation, meanwhile reduces the effect of image edge blurring brought by linear interpolation. Experimental results show that method of interpolation is better than traditional bilinear interpolation.
参考文献

[1] 于天河, 郝富春, 康为民, 等. 红外图像增强技术综述 [J].红外与激光工程, 2007, 36(S): 335-338. YU Tianhe, HAO Fuchun, KANG Weimin, et al. Summarization on the infrared image enhancement technology [J]. Infrared and Laser Engineering, 2007, 36(S): 335-338.

[2] 李怀琼, 陈钱, 隋修宝. 基于边缘保护的红外图像插值放大算法 [J].兵工学报, 2006, 27(4): 655-658. LI Huaiqiong, CHEN Qian, SUI Xiubao. An Edge-preserving-based Infrared Image Interpolation Algorithm [J]. Acta Armamentarii, 2006, 27(4): 655-658.

[3] Peli E. Contrast in Complex Images [J]. Optical Socrety of America(S1084-7529), 1990, 17(10): 578-589.

[4] Ampazis Nikolaos, Perantonis Stavros. Two Highly Efficient Second-order Algorithms for Training Feed Forwards Networks [J]. IEEE Transactions on Neural Networks(S1045-9227), 2002, 13(5): 1064-1074.

[5] 雷小丽, 党群. 一种新的非线性变换法实现图像增强的方法 [J].光子学报, 2007, 36(B06): 346-348. LEI Xiaoli, DANG Qun. A New Image Enhancement by Non-linearity Transform Method [J]. Acta Photonica Sinica, 2007, 36(B06): 346-348.

[6] 寇小明, 刘上乾, 洪鸣, 等. 一种自适应红外图像增强技术 [J].西安电子科技大学学报: 自然科学版, 2009, 36(6): 1070-1074. KOU Xiaoming, LIU Shangqian, HONG Ming, et al. Approach for adaptive infrared thermal image enhancement [J]. Journal of Xidian University, 2009, 36(6): 1070-1074.

[7] 黎育红, 周建中, 丁威. 基于自适应阈值的红外图像增强 [J].科学技术与工程, 2010, 10(4): 922-927. LI Yuhong, ZHOU Jianzhong, DING Wei. Self-adaptive Thresholding Based Infrared Laser Images Enhancement [J]. Science Technology and Engineering, 2010, 10(4): 922-927.

[8] 李佐勇, 刘传才, 程勇, 等. 红外图像统计阈值分割方法 [J].计算机科学, 2010, 37(1): 282-286, 298. LI Zuoyong, LIU Chuancai, CHENG Yong, et al. Statistical ThreshoIding Method for Infrared Images [J]. Computer Science, 2010, 37(1): 282-286, 298.

[9] 王杰, 李洪兴, 王加银, 等. 一种图像快速线性插值的实现方案与分析 [J].电子学报, 2009, 37(7): 1481-1486. WANG Jie, LI Hongxing, WANG Jiayin, et al. A Scheme and Its Analysis for Fast Linear Image Interpolation [J]. Acta Electronica Sinica, 2009, 37(7): 1481-1486.

龚昌来, 罗聪, 杨冬涛, 黄杰贤. 基于线性插值和正弦灰度变换的红外图像放大[J]. 光电工程, 2013, 40(2): 110. GONG Changlai, LUO Cong, YANG Dongtao, HUANG Jiexian. Infrared Image Magnification Algorithm Based on Linear Interpolation and Sine Gray Level Transformation[J]. Opto-Electronic Engineering, 2013, 40(2): 110.

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