AI Article Synopsis
- The increasing complexity of digital image processing is straining the performance and efficiency of traditional computer systems, particularly those relying on CMOS transistors, due to physical and economic limitations.
- Non-volatile resistive memory technologies, or memristors, offer a solution to these challenges with advantages like compact size, speed, low power consumption, and in-memory computing capabilities.
- The review discusses current digital image processing methods, challenges faced in the field, and specific applications of memristors, such as image compression and recognition, while also highlighting their potential for future integration.
Article Abstract
Today performance and operational efficiency of computer systems on digital image processing are exacerbated owing to the increased complexity of image processing. It is also difficult for image processors based on complementary metal-oxide-semiconductor (CMOS) transistors to continuously increase the integration density, causing by their underlying physical restriction and economic costs. However, such obstacles can be eliminated by non-volatile resistive memory technologies (known as memristors), arising from their compacted area, speed, power consumption high efficiency, and in-memory computing capability. This review begins with presenting the image processing methods based on pure algorithm and conventional CMOS-based digital image processing strategies. Subsequently, current issues faced by digital image processing and the strategies adopted for overcoming these issues, are discussed. The state-of-the-art memristor technologies and their challenges in digital image processing applications are also introduced, such as memristor-based image compression, memristor-based edge and line detections, and voice and image recognition using memristors. This review finally envisages the prospects for successful implementation of memristor devices in digital image processing.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533477 | PMC |
| http://dx.doi.org/10.1186/s11671-023-03901-w | DOI Listing |
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