Memory‐Processing‐Display Integrated Hardware with All‐In‐One Structure for Intelligent Image Processing

Author:

Shan Liuting12,Yu Rengjian12,Chen Zhenjia12,Zhang Xianghong12,Gao Changsong12,Lian Minrui12,Hu Yuanyuan3,Guo Tailiang12,Chen Huipeng12ORCID

Affiliation:

1. Institute of Optoelectronic Display National & Local United Engineering Lab of Flat Panel Display Technology Fuzhou University Fuzhou 350002 P. R. China

2. Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350100 P. R. China

3. Changsha Semiconductor Technology and Application Innovation Research Institute College of Semiconductors (College of Integrated Circuits) Hunan University Changsha 410082 P. R. China

Abstract

AbstractEmpowering displays with intelligent functions enables their application in intelligent image processing and intelligent interactive displays, which is the combination of future display and artificial intelligence technologies. However, existing display technologies face significant processing and transmission burdens due to their conventional hardware separation architecture, which separates memory from the processor and display module from the processing module. To address these challenges, a highly integrated memory‐ processing‐display intelligent light‐emitting hardware (MPDIH) capable of information generation, memory, processing, and visualization is proposed. The MPDIH, based on an organic light‐sensitive layer and activated by ultraviolet light irradiation, exhibits unique photoinhibition behavior attributed to the reverse light‐induced electric field formed by the directional arrangement of photo‐generated excitons. This behavior enables dynamic regulation and autonomous learning during the device training process. Leveraging this phenomenon, intelligent image processing is successfully demonstrated, achieving a significant contrast improvement with a maximum enhancement of 261% compared to unprocessed raw signals. Furthermore, the memory‐processing‐display intelligent image processing scheme enables fashion MNIST image recognition using an artificial neural network, and achieves noticeably higher recognition accuracy (>89%) compared to the original fuzzy images (<59%). Consequently, the proposed memory‐processing‐display intelligent light‐emitting hardware holds promise for future applications in integrated photonic systems and interactive artificial intelligence displays.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

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