In this study, we address the emerging necessity of converting Standard Dynamic Range Television (SDRTV) content into High Dynamic Range Television (HDRTV) in light of the limited number of native HDRTV content. A principal technical challenge in this conversion is the exacerbation of coding artifacts inherent in SDRTV, which detrimentally impacts the quality of the resulting HDRTV. To address this issue, our method introduces a novel approach that conceptualizes the SDRTV-to-HDRTV conversion as a composite task involving dual degradation restoration. This encompasses inverse tone mapping in conjunction with video restoration. We propose Dual Inversion Downgraded SDRTV to HDRTV Network (DIDNet), which can accurately perform inverse tone mapping while preventing encoding artifacts from being amplified, thereby significantly improving visual quality. DIDNet integrates an intermediate auxiliary loss function to effectively separate the dual degradation restoration tasks and efficient learning of both artifact reduction and inverse tone mapping during end-to-end training. Additionally, DIDNet introduces a spatio-temporal feature alignment module for video frame fusion, which augments texture quality and reduces artifacts. The architecture further includes a dual-modulation convolution mechanism for optimized inverse tone mapping. Recognizing the richer texture and high-frequency information in HDRTV compared to SDRTV, we further introduce a wavelet attention module to enhance frequency features. Our approach demonstrates marked superiority over existing state-of-the-art techniques in terms of quantitative performance and visual quality.

翻译：本研究针对当前原生高动态范围电视（HDRTV）内容稀缺的现状，探讨了将标准动态范围电视（SDRTV）内容转换为HDRTV的迫切需求。该转换过程中的一个核心技术挑战在于SDRTV固有的编码伪影会在此过程中加剧，从而严重影响最终HDRTV的视觉质量。为解决此问题，我们提出了一种新颖方法，将SDRTV到HDRTV的转换概念化为一个包含双重退化恢复的复合任务，即逆色调映射与视频恢复的结合。我们提出了双重逆退化SDRTV转HDRTV网络（DIDNet），该网络能够精确执行逆色调映射，同时防止编码伪影被放大，从而显著提升视觉质量。DIDNet集成了一个中间辅助损失函数，以有效分离双重退化恢复任务，并在端到端训练中高效学习伪影抑制和逆色调映射。此外，DIDNet引入了一个用于视频帧融合的时空特征对齐模块，以增强纹理质量并减少伪影。该架构还包含一个双调制卷积机制，用于优化逆色调映射过程。考虑到HDRTV相较于SDRTV具有更丰富的纹理和高频信息，我们进一步引入了一个小波注意力模块以增强频率特征。实验表明，我们的方法在定量指标和视觉质量方面均显著优于当前最先进的技术。