A Novel Hardware Architecture for Non-local Means Adaptive Filter
2020
Srinivas, Nagapuri | Singh, Pratik | Pradhan, Gayadhar
A novel dedicated hardware architecture is proposed in this letter for one-dimensional non-local means (NLM) algorithm. The patch-based NLM algorithm has been effectively used to filter out noises from the two-dimensional images as well as various one-dimensional signals, such as an electrocardiogram (ECG) and audio signals. Dedicated hardware ensures the availability, predictability and stability of an algorithm. In this letter, an efficient hardware architecture of the NLM is proposed for removing noises from the corrupted ECG signal. The proposed architecture is implemented on a field-programmable gate array. The efficacy of the proposed architecture is verified by a firm comparison of the outputs obtained from both the hardware architecture and the software simulation performed on MATLAB. The computational complexity has also been compared for both cases (hardware and software) to show the effectiveness of the proposed hardware architecture.
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