Bilateral filter based multiscale layer tone mapping algorithm

Bi-bo LU; Zhen-zhen HUANGFU; Kai GUO; Yan-mei ZHENG; Yu-jing LI

doi:10.3788/YJYXS20183309.0816

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Bilateral filter based multiscale layer tone mapping algorithm

Image Processing | 更新时间：2020-07-06

- Bilateral filter based multiscale layer tone mapping algorithm
- Chinese Journal of Liquid Crystals and Displays Vol. 33, Issue 9, Pages: 816-822(2018)
- 作者机构：
  
  河南理工大学计算机科学与技术学院, 河南焦作 454000
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20183309.0816
  CLC： TP394.1
- Received：09 April 2018，
  
  Accepted：04 July 2018，
  
  Published：05 September 2018
- 稿件说明：
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Bi-bo LU, Zhen-zhen HUANGFU, Kai GUO, et al. Bilateral filter based multiscale layer tone mapping algorithm[J]. Chinese journal of liquid crystals and displays, 2018, 33(9): 816-822.
DOI：

Bi-bo LU, Zhen-zhen HUANGFU, Kai GUO, et al. Bilateral filter based multiscale layer tone mapping algorithm[J]. Chinese journal of liquid crystals and displays, 2018, 33(9): 816-822. DOI： 10.3788/YJYXS20183309.0816.

摘要

为增强高动态范围图像（High dynamic range，HDR）的显示效果，本文提出一种多尺度梯度域色调映射算法。首先提取高动态范围图像的亮度信息，利用双边滤波将高动态范围图像的亮度数据进行多尺度分解，得到基本层和细节层。由于视觉上的亮度变化体现为图像数据的梯度变化，因此可在梯度域对基本层图像进行自适应动态范围压缩，然后加上细节层图像信息，最后再通过色彩校正算法恢复图像色彩，实现HDR图像的动态范围压缩。通过对比算法的定量分析表明，本文算法的方差和信息熵的客观指标分别提高了30.8%和5.9%，因此，本文方法在压缩HDR图像的动态范围的同时，可以更好地保留边界、纹理等细节信息。

Abstract

In order to enhance the display effect of High dynamic range image (HDR)

this paper proposed a multi-scale gradient domain color mapping algorithm. Firstly

the luminance information of high dynamic range images is extracted

and the luminance data of high dynamic range images are decomposed in multiple scales by bilateral filtering

and the basic and detailed layers are obtained. Since the change of visual brightness is reflected in the gradient of image data

the adaptive dynamic range compression of basic layer images can be carried out in the gradient domain. Then the detailed layer image information is added

and finally the image color is restored through the color correction algorithm to realize the dynamic range compression of HDR images. The quantitative analysis of the comparison algorithm shows that the objective indexes of variance and information entropy of the algorithm in this paper increased by 30.8% and 5.9% respectively. In this paper

while compressing the dynamic range of HDR images

the details such as boundary and texture are preserved.

关键词

Keywords

references

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