Hybrid deep emperor penguin classifier algorithm‐based image quality assessment for visualisation application in HDR environments

Abstract

One of the main open challenges in visualisation applications such as cathode ray tube (CRT) monitor, liquid‐crystal display (LCD), and organic light‐emitting diode (OLED) display is the robustness for high dynamic range (HDR) environs. This is due to the imperfections in the sensor and the incapability to track interest points successfully because of the brightness constancy in visualisation applications. To address this problem, different tone mapping operators are required for visualising HDR images on standard displays. However, these standard displays have different dynamic ranges. Thus, there is a need for a new model to find the best quality tone mapped image for specific kinds of visualisation applications. The authors propose a hybrid deep emperor penguin classifier to accurately classify the tone mapped images for different visualisation applications. Here, a selective deep neural network is trained to predict the quality of a tone‐mapped image. Based on this quality, a decision is made as to the suitability of the image for CRT monitor, LCD display or OLED display. Also, they evaluate the proposed model on the TMIQD database and the simulation results prove that the proposed model outperforms the state‐of‐the‐art image quality assessment methods.

Art Image Style Conversion Based on Multi-Scale Feature Fusion Network

“…The research method was superior to other image quality evaluation methods. It had the potential to solve color mapping challenge in high dynamic range environments, providing the best quality images for specific visualization applications [13]. The summary of the related works is shown in Table 1.…”

Organic photodetectors: materials, device, and challenges

“…[85][86][87][88] Unlike inorganic semiconductors, organic semiconductors (including small molecules and polymers) have high mechanical flexibility and low processing costs, and they show greater than expected potential in promoting the use of flexible and stretchable photodetectors for research and other applications, such as chemical/biological detection, 85,89,90 medical health, 91 artificial vision, 92 and image sensing. 93,94 Recent studies indicate a highly promising future for the incorporation of OPDs in the upcoming generation of flexible wearable electronic devices. 95,96 However, at the same time, they are still affected by the above materials and device structures, facing numerous challenges.…”