Fahim Masud An-Nur Islam, Jung Ho Yub
Department of Computer Engineering, Chosun University, Gwangju 61452, Korea.
Sensors (Basel). 2020 Aug 5;20(16):4378. doi: 10.3390/s20164378.
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.
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。
