Editorial to the Special Issue on Image Content Understanding
Abstract
Image Content Understanding aims at analyzing and comprehending the content of an image, including the identification and interpretation of objects, scenes, relationships, and other aspects within the image.The purpose of the special issue is to collate a selection of representative articles that were primarily presented at the Conference on China Multimedia 2023 (China MM 2023) on 2-4 August 2023 in Kunming, China.The special issue was also made open to public submissions for a wide inclusion.The scope of the special issue is broad and represents multi-disciplinary nature of image content understanding.It covers topics from low-level image processing technologies (e.g., image dehazing, mathematical morphology, and image enhancement) to high-level semantic understanding (e.g., image super-resolution, facial expressions spotting, and image generation).In recent years, medical image has become a popular area for deep learning research and application.This special issue also includes articles on image risk assessment.With the rapid development of imaging technologies and electronics, the environment in which images are captured has become diverse.As a result, fundamental enhancement techniques based on image pixels and spatial spaces have increasingly
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