基于支持向量回归的盲图像去卷积

Blind image deconvolution through support vector regression.

作者信息

Li Dalong, Mersereau Russell M, Simske Steven

出版信息

IEEE Trans Neural Netw. 2007 May;18(3):931-5. doi: 10.1109/TNN.2007.891622.

DOI:10.1109/TNN.2007.891622

Abstract

This letter introduces a new algorithm for the restoration of a noisy blurred image based on the support vector regression (SVR). Experiments show that the performance of the SVR is very robust in blind image deconvolution where the types of blurs, point spread function (PSF) support, and noise level are all unknown.

摘要

这封信介绍了一种基于支持向量回归（SVR）的用于恢复噪声模糊图像的新算法。实验表明，在模糊类型、点扩散函数（PSF）支持和噪声水平均未知的盲图像去卷积中，SVR的性能非常稳健。