Monotonic Regression A New Way for Correlating Subjective and Objective Ratings in Image Quality - 2012 PROJECT TITLE :Monotonic Regression A New Way for Correlating Subjective and Objective Ratings in Image Quality - 2012ABSTRACT: To assess the performance of image quality metrics (IQMs), some regressions, such as logistic regression and polynomial regression, are used to correlate objective ratings with subjective scores. However, some defects in optimality are shown in these regressions. In this correspondence, monotonic regression (MR) is found to be an effective correlation method in the performance assessment of IQMs. Both theoretical analysis and experimental results have proven that MR performs better than any other regression. We believe that MR could be an effective tool for performance assessment in the IQM research. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Low-Complexity Image Processing for Real-Time Detection of Neonatal Clonic Seizures - 2012 Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images - 2012