Hardware implementation of an α-trimmed adaptive median mean filter

被引：0

作者：

Clarks, Nathan ^{[1
]}

Schweinfuss, Matthew ^{[1
]}

Hriba, Enass ^{[1
]}

Hassan, Firas ^{[1
]}

机构：

[1] Ohio Northern Univ, Elect & Comp Engn & Comp Sci ECCS Dept, Ada, OH 45810 USA

来源：

2024 IEEE 67TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, MWSCAS 2024 | 2024年

关键词：

Gaussian noise; impulse noise; image restoration; FPGA implementation; real-time applications; IMPULSE;

D O I：

10.1109/MWSCAS60917.2024.10658780

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we provide and describe a hardware implementation of an a-trimmed adaptive median mean filter capable of restoring images affected by both Gaussian and impulse noise without causing blurriness in the reconstructed image. The algorithm was implemented on an FPGA device and achieved real-time processing capabilities of 50 frames/second for a frame of 1024x768 pixels while utilizing 3363 LUTs, 392 FFs, and 1 DSP block.

引用

页码：719 / 723

页数：5

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