Research on Optimization Strategies of Infrared Image Enhancement Technology in Embedded Systems

DOI: https://doi.org/10.62517/jbdc.202501214

Author(s)

Chen Xianbin

Affiliation(s)

Aviation Industry Optoelectronics Institute, Luoyang, Henan, China

Abstract

Infrared images often face problems such as insufficient contrast and lack of texture information. Usually, image enhancement techniques are needed to improve the quality of infrared images. Embedded systems are the main hardware platforms for the implementation of infrared image enhancement algorithms. Their characteristics of small size, low power consumption and limited computing resources limit the possibility of implementing complex algorithms. This paper focuses on discussing the feasibility of efficiently implementing image enhancement algorithms in the context of embedded systems, and mainly introduces algorithm optimization strategies, hardware acceleration strategies and collaborative optimization strategies.

Keywords

Infrared Image; Embedded System; Resource Limitation; Image Enhancement; Optimization Strategy

References

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