The Inter-Relationship Between Photographic Aesthetics and Technical Quality

Quality assessment has become increasingly important, finding applications in image and video acquisition, synthesis, search, and more. Image quality assessmentImage quality assessment (IQA) and image aesthetics assessmentImage aesthetics assessment (IAA) are two types of quality assessment techniques that are related but have distinct objectives. IQA focuses on technical quality, such as low-level defects, while IAA considers abstract and higher-level concepts that encompass the subjective aesthetic experience. Recent IQA techniques have broadened their scope, emphasizing the interactions between the perception of defects and aesthetics. However, few studies have investigated the relationship between photographic aesthetics and technical quality. The interconnection between the two facets of quality is apparent subjectively, from an empirical and theoretical perspective, as well as objectively, as their connection influences the cross-task prediction performance of IQA and IAA models. We review the literature identifying shared factors considered in models for IQA and IAA, compare the use of deep learningDeep learning features in each task, and discuss other connections at a theoretical level.