Features Fusion For Natural Tone - Mapped Image Quality Evaluation Using DL-CNN

Abstract

Tone-mapping is a complex process for displaying HDR pictures on standard displays. There are several ways to tone-map pictures, thus it's important to come up with a fair quality measure to choose the best tone-mapping operator (TMO) and adjust its parameters to get the greatest reproduction quality. This is a novel way to objectively assess tone-mapped photos of real-life settings. It combines perceptually meaningful features picked using an acceptable technique. Additionally, the selection highlights the significance of perceptual factors in evaluating tone-mapped HDR video. A number of state-of-the-art criteria and three publicly available datasets are used to assess the feature combination. A different goal is suggested to optimize the picture quality. The foundation of this strategy is the DL-CNN fusion of many perceptually significant characteristics that have been meticulously chosen utilizing adequate high-level features.