Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients
Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients
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DOI：
10.1016/j.dsp.2013.06.002
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发表时间：
2013-12-01
影响因子：
2.9
通讯作者：
Achim, Alin M.
中科院分区：
文献类型：
--
作者：
Loza, Artur;Bull, David R.;Achim, Alin M.
本文提出了一种基于图像小波系数统计模型的低照度或光照不均匀场景图像和图像序列对比度增强的新方法。一个非线性增强函数已被设计的基础上的局部离散的小波系数建模为一个双变量柯西分布。在相同的统计框架内，借助于收缩函数执行图像中的同时降噪，从而防止噪声放大。所提出的增强方法已被证明是非常好的照明不足和嘈杂的图像，优于其他传统的方法，在输出数据的对比度增强和降噪方面。(c)2013 Elsevier Inc. All rights reserved.
This paper describes a new method for contrast enhancement in images and image sequences of low-light or unevenly illuminated scenes based on statistical modelling of wavelet coefficients of the image. A non-linear enhancement function has been designed based on the local dispersion of the wavelet coefficients modelled as a bivariate Cauchy distribution. Within the same statistical framework, a simultaneous noise reduction in the image is performed by means of a shrinkage function, thus preventing noise amplification. The proposed enhancement method has been shown to perform very well with insufficiently illuminated and noisy imagery, outperforming other conventional methods, in terms of contrast enhancement and noise reduction in the output data. (c) 2013 Elsevier Inc. All rights reserved.