High Dynamic Range Image Generating Algorithm Based on Detail Layer Separation of a Single Exposure Image

被引：0
|
作者：
Zhang H.-Y. [1 ]
Zhu E.-H. [1 ]
Wu Y.-D. [2 ]
机构：
[1] School of Information Engineering, Southwest University of Science and Technology, Mianyang
[2] School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2019年 / 45卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Detail layer separation; Gamma correction; High dynamic range (HDR); Human visual system (HSV); Inverse tone mapping operator (iTMO);
D O I：
10.16383/j.aas.2018.c170233
中图分类号：
学科分类号：
摘要：
Aimed at the problem of insufficient information on high dynamic range (HDR) image generating using a single low dynamic range (LDR) image, an HDR image generating algorithm by means of detail layer separation of a single exposure image is proposed. Firstly, according to the human visual system model, the luminance component and chrominance component of the LDR image are extracted, respectively, then the gamma-corrected luminance component is filtered by bilateral filtering so as to extract the basic layer of the luminance component, and the extracted basic layer and the luminance component are traversed to get the detail layer of the luminance component. Secondly, the inverse tone mapping function is constructed to extend the detail image and the gamma-corrected luminance image to obtain the inverse tone mapping images, respectively. Thirdly, fusing the inverse tone mapping luminance component and the compressed detail layer obtains a new luminance component. Finally, the chromaticity component is combined with the new luminance component to get the fused image, which is de-noised to obtain the final HDR image. A comparison experiment shows that the proposed algorithm can excavate some hidden image detail information and has better processing effects, higher operation efficiency, and better robustness. Copyright © 2019 Acta Automatica Sinica. All rights reserved.
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页码：2159 / 2170
页数：11
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