Blind quality index for tone-mapped images based on luminance partition

作者：

Highlights：

• This paper proposes an improved luminance partition model to divide TMIs into areas with different brightness levels.

• The partition method is highly consistent with the characteristics of the HVS in luminance perception.

• This paper proposes to extract different quality-aware features from areas with different luminance levels.

• This paper takes advantage of combining the effects of salient local distortion and global quality degradation for feature extraction.

摘要

•This paper proposes an improved luminance partition model to divide TMIs into areas with different brightness levels.•The partition method is highly consistent with the characteristics of the HVS in luminance perception.•This paper proposes to extract different quality-aware features from areas with different luminance levels.•This paper takes advantage of combining the effects of salient local distortion and global quality degradation for feature extraction.

论文关键词：Tone-mapping operators,Tone-mapped image,Human visual system,Luminance partition,Multi-resolution representation,Random forest regression

论文评审过程：Received 14 August 2018, Revised 23 December 2018, Accepted 7 January 2019, Available online 8 January 2019, Version of Record 30 January 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.01.010