No Reference Image Quality Assessment

No-Reference Image Quality Assessment (NR-IQA) is a technique in the field of computer vision that can evaluate the quality of target images without using reference images. Its main objective is to objectively quantify image quality by analyzing intrinsic features of the image, such as noise levels, blurriness, and compression artifacts. NR-IQA has significant value in applications such as image processing, transmission, and storage, effectively enhancing user experience and system performance.