Inverse Tone Mapping Operators Evaluation Using Blind Image Quality Assessment
Recently more and more researches work on reproducing real-world appearance images through LDR images using inverse tone mapping methods. Therefore, evaluation metrics to qualify the performance of inverse tone mapping operators (iTMO) are needed to understand the effect of important features such as nonlinearity. Most metric requires a reference ground truth to compare with the resulting HDR images. However, a reference HDR image may not be available or hard to verify as a ground truth. In this work, we propose a blind image quality assessment that measures test images without information from reference images. The blind image estimation method contains attributes of contrast, brightness, and colorfulness. The analysis results of contrast and brightness matches with that of the JNDbased contrast analysis and human perception.
Chih-Rung Chen Ching-Te Chiu Yung-Chang Chang
Dept. of Computer Science National Tsing Hua University, Hsinchu. Information and Communications Research Lab. Industrial Technology Research Institute, Hsinchu.
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-7
2011-10-18(万方平台首次上网日期,不代表论文的发表时间)