Title

数字图像去模糊处理算法的对比研究

Translated Titles

Comparison and Study of Image Deconvolution Algorithms

Authors

刘扬阳(Yang-Yang Liu);金伟其(Wei-Qi Jin);苏秉华(Bing-Hua Su)

Key Words

去模糊 ; 图像复原 ; MPML算法 ; deconvolution ; image reconstruction ; MPML algorithm

PublicationName

北京理工大學學報

Volume or Term/Year and Month of Publication

24卷10期(2004 / 10 / 01)

Page #

905 - 909

Content Language

簡體中文

Chinese Abstract

为获得图像反卷积的真实解,考虑到噪声和模糊函数对复原图像的影响,研究分析了几种常用的数字图像去模糊处理技术,提出基于Markov约束的Poisson最大似然法(MPML)的超分辨力图像复原处理算法,并进行实际处理图像比较分析。实验表明:MPML算法具有其他几种算法的优势,同时减少了对原有信息的丢失。尤其是在噪声小的情况下,复原图像效果震荡条纹很小且具有较强的超分辨力复原能力。在数字图像去模糊处理技术研究方面具有一定意义。

English Abstract

Deconvolution results may deviate true answers because of noise and low pass filtering. The effects of noise and blurred function to image data are compared and studied for several common deconvolution algorithms, and the maximum likelihood algorithm based on the PoissonMarkov model of super-resolution image restoration algorithms is proposed. Experiments showed that, based on the MPML algorithm proposed, it has the advantages of diminishing losses of original data in contrast to other algorithms, especially in cases involving lower noise. The recovery images display very small concussive lines and have better super-resolution recovery ability for deconvolution applications.

Topic Category 基礎與應用科學 > 基礎與應用科學綜合
工程學 > 工程學綜合