Suppr超能文献

通过避免基础层提取实现快速单图像HDR色调映射

Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction.

作者信息

Fahim Masud An-Nur Islam, Jung Ho Yub

机构信息

Department of Computer Engineering, Chosun University, Gwangju 61452, Korea.

出版信息

Sensors (Basel). 2020 Aug 5;20(16):4378. doi: 10.3390/s20164378.

Abstract

The tone-mapping algorithm compresses the high dynamic range (HDR) information into the standard dynamic range for regular devices. An ideal tone-mapping algorithm reproduces the HDR image without losing any vital information. The usual tone-mapping algorithms mostly deal with detail layer enhancement and gradient-domain manipulation with the help of a smoothing operator. However, these approaches often have to face challenges with over enhancement, halo effects, and over-saturation effects. To address these challenges, we propose a two-step solution to perform a tone-mapping operation using contrast enhancement. Our method improves the performance of the camera response model by utilizing the improved adaptive parameter selection and weight matrix extraction. Experiments show that our method performs reasonably well for overexposed and underexposed HDR images without producing any ringing or halo effects.

摘要

色调映射算法将高动态范围(HDR)信息压缩到常规设备的标准动态范围内。理想的色调映射算法在不丢失任何重要信息的情况下再现HDR图像。常见的色调映射算法大多借助平滑算子来处理细节层增强和梯度域操作。然而,这些方法常常面临过度增强、光晕效应和过饱和效应等挑战。为应对这些挑战,我们提出了一种两步解决方案,通过对比度增强来执行色调映射操作。我们的方法通过利用改进的自适应参数选择和权重矩阵提取来提高相机响应模型的性能。实验表明,我们的方法对于过曝和欠曝的HDR图像表现良好,不会产生任何振铃或光晕效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffcc/7472342/c73c4a3b2b6d/sensors-20-04378-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验