Full‐reference tone‐mapped images quality assessment

Abstract

Abstract Various tone mapping operators have been proposed to convert the high dynamic range images to low dynamic ranges to improve visualization on low dynamic range displays. This paper presents a full‐reference objective quality assessment index to evaluate the perceived quality of tone‐mapped images. The proposed method seamlessly employs the multi‐scale structural fidelity, statistical naturalness, colourfulness and the multi‐scale free energy of the image to create a similarity score between a produced low dynamic range image and its high dynamic range image. The extensive experiments on three publicly available datasets using Spearman's rank‐order correlation coefficient, Kendall's rank‐order correlation coefficient and receiver operating characteristics analyses indicate the proposed tone‐mapped quality index is superior to recently proposed state‐of‐the‐art objective quality indices.

Keywords

• Optical, image and video signal processing
• Computer vision and image processing techniques
• Other topics in statistics
• Other topics in statistics