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Curvelet Based Image Reconstruction

机译:基于Curvelet的图像重建

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摘要

This paper presents a curvelet based approach for image reconstruction.The objective of the method is to obtain a retrieval image containing as much information as possible for face feature extraction.One attempts have been proposed for the image reconstruction using the wavelet transform.Since face images have several objects and curved shapes,it is expected that the curvelet transform would be better in their feature extraction.The simulation results show the superiority of the curvelet transform to the wavelet transform in the visual quality and the peak signal to noise ratio (PSNR) points of view.
机译:本文提出了一种基于Curvelet的图像重建方法,该方法的目的是获得一个包含尽可能多信息的检索图像,以进行人脸特征提取,并提出了使用小波变换进行图像重建的一种尝试。仿真结果表明,在视觉质量和峰值信噪比(PSNR)方面,Curvelet变换比小波变换具有优越性。的观点。

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