A comprehensive review of deep learning methods for enhancing and reconstructing images in environmental contexts

Abstract

Abstract. Deep learning techniques have revolutionized the field of computer vision and image processing, offering significant advancements in image enhancement and reconstruction tasks. This paper presents a systematic review of deep learning approaches applied to image enhancement and reconstruction in environmental applications. We analyze and summarize the state-of-the- art methods, datasets, and evaluation metrics employed in this domain. Furthermore, we discuss the challenges and future directions for the development of deep learning techniques in environmental image processing.