Ultra High Resolution Image

Ultra-high-resolution (UHR) image processing focuses on efficiently and accurately analyzing and manipulating images with extremely high pixel counts, addressing computational limitations and preserving fine details. Current research emphasizes developing memory-efficient architectures, such as patch-based processing and diffusion transformers, alongside innovative algorithms like domain decomposition and frequency-domain manipulation to improve segmentation, object detection, and image generation tasks. These advancements are crucial for various applications, including remote sensing, medical imaging, and autonomous driving, where detailed information extracted from UHR images is essential for improved performance and decision-making.