Evaluation of High Dynamic Range Reduced-Reference Image Quality Assessment based on Spatial Features
This paper presents an objective image quality assessment method for High Dynamic Range (HDR) images with a partial access to some reference information. Our work focuses on developing Reduced-Reference (RR) data that can be used in image quality models for HDR. In this paper, we present results of using various simple features derived from spatial information. This method was evaluated by using the publicly available HDR image quality assessment database. The result shows a promising performance although there are room for improvement.
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Evaluation of High Dynamic Range Reduced-Reference Image Quality Assessment based on Spatial Features
Semantic Scholar · Computer Science · 2019
Abstract
This paper presents an objective image quality assessment method for High Dynamic Range (HDR) images with a partial access to some reference information. Our work focuses on developing Reduced-Reference (RR) data that can be used in image quality models for HDR. In this paper, we present results of using various simple features derived from spatial information. This method was evaluated by using the publicly available HDR image quality assessment database. The result shows a promising performance although there are room for improvement.