S-IQA Image Quality Assessment With Compressive Sampling

arXiv:2404.17170v1 Announce Type: new
Abstract: No-Reference Image Quality Assessment (IQA) aims at estimating image quality in accordance with subjective human perception. However, most existing NR-IQA methods focus on exploring increasingly complex networks or components to improve the final performance. Such practice imposes great limitations and complexity on IQA methods, especially when they are applied to high-resolution (HR) images in the real world. Actually, most images own high spatial redundancy, especially for those HR data. To further exploit the characteristic and …

abstract arxiv assessment complexity components cs.cv eess.iv focus however human image limitations networks perception performance practice quality reference sampling type