传感技术学报2011，Vol.24Issue(1)：59-64,6.DOI:10.3969/j.issn.1004-1699.2011.01.013
基于Contourlet的改进双线性插值图像超分辨率算法
Using Improved Bilinear Interpolation and Contourlet Transformation to Zoom Images for Super-Resolution
摘要
Abstract
In order to preserve the basic information of CCD images and to improve their visual effect and space resolution, a novel image zooming algorithm is proposed by using improved bilinear interpolation and Contourlet transformation. The proposed algorithm incorporates the error-amended part into the bilinear interpolation algorithm.Directions of the interpolation points are determined by the Sobel operator, then we get a preliminary zoomed image.High-frequency components are got by a Contourlet transformation, and low-frequency components are replaced by the enhanced amplitude of the original image. A high-resolution image is achieved by inverse Contourlet transformation. The experimental results indicate that, compared with traditional image zooming algorithms, this algorithm can get clearer and sharper edges due to considerations of global pixels correlation of the original image.关键词
图像放大/超分辨/Contourlet变换/误差补偿Key words
image zooming/ super-resolution/ Contourlet transformation/ error-amended sharp edge scheme分类
信息技术与安全科学引用本文复制引用
蔡念,张海员,张楠..基于Contourlet的改进双线性插值图像超分辨率算法[J].传感技术学报,2011,24(1):59-64,6.基金项目
国防973项目资助(51323020203-2) （51323020203-2）
国家自然科学基金资助(61001179,30600121) （61001179,30600121）
广东省自然科学基金资助(07301038) （07301038）
