Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview
It is an incremental review paper summarizing existing algorithms for UHD image enhancement, primarily for researchers and practitioners in image processing.
This paper provides an overview of the current state and trends in Ultra-High-Definition (UHD) image enhancement, addressing issues like contrast degradation and blurring in images with resolution ≥3840×2160, but does not present new experimental results or specific numerical improvements.
Currently, to further improve visual enjoyment, Ultra-High-Definition (UHD) images are catching wide attention. Here, UHD images are usually referred to as having a resolution greater than or equal to $3840 \times 2160$. However, since the imaging equipment is subject to environmental noise or equipment jitter, UHD images are prone to contrast degradation, blurring, low dynamic range, etc. To address these issues, a large number of algorithms for UHD image enhancement have been proposed. In this paper, we introduce the current state of UHD image enhancement from two perspectives, one is the application field and the other is the technology. In addition, we briefly explore its trends.