Perceptual multi-exposure image fusion with overall image quality index and local saturation

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• 作者：Peng Ke ; Cheolkon Jung ; Ying Fang
• 关键词：Color correction ; Local saturation ; High dynamic range imaging ; Multiple ; exposure fusion ; Natural color rendering ; Overall image quality index
• 刊名：Multimedia Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：23
• 期：2
• 页码：239-250
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems; Computer Communication Networks; Operating Systems; Data Storage Representation; Data Encryption; Computer Graphics;
• 出版者：Springer Berlin Heidelberg
• ISSN：1432-1882
• 卷排序：23

文摘

Realistic rendering of natural scenes captured by digital cameras is the ultimate goal of image processing. In recent years, high dynamic range (HDR) imaging has received increasing attention for producing high-quality images. Multi-exposure image fusion is one of the most popular methods to achieve an HDR-like image without tone mapping. However, existing fusion methods may result in serious color distortions due to the inappropriate image attribute selection. In this paper, we propose a multi-exposure image fusion method based on human visual perception with overall image quality index (OIQ) and local saturation. We adopt OIQ and local saturation to enhance the fusion quality of multi-exposure images and achieve natural color reproduction. Experimental results show that the proposed method can successfully enhance image quality and achieve realistic rendering of natural scenes.