We introduce LuminanceL1Loss, a novel loss function designed to enhance the performance of image restoration tasks. We demonstrate its superiority over MSE when applied to the Retinexformer, BUIFD and DnCNN architectures. Our proposed LuminanceL1Loss leverages a unique approach by transforming images into grayscale and subsequently computing the MSE loss for both grayscale and color channels. Experimental results demonstrate that this innovative loss function consistently outperforms traditional methods, showcasing its potential in image denoising and other related tasks in image reconstruction. It demonstrates gains up to 4.7dB. The results presented in this study highlight the efficacy of LuminanceL1Loss for various image restoration tasks.

翻译：我们提出了一种名为LuminanceL1Loss的新型损失函数，旨在提升图像复原任务的性能。通过将其应用于Retinexformer、BUIFD和DnCNN架构，我们证明了该函数相较于MSE的优越性。所提出的LuminanceL1Loss采用独特方法，先将图像转换为灰度图，随后分别计算灰度通道与彩色通道的MSE损失。实验结果表明，这一创新性损失函数在图像去噪及其他图像重建相关任务中持续优于传统方法，峰值信噪比增益最高可达4.7dB。本研究展示的结果凸显了LuminanceL1Loss在多种图像复原任务中的有效性。