[[abstract]]In this paper, we propose a fast algorithm to realize parallel median filter for processing 1-D and 2-D signal. In the proposed pipelined architecture, m-passes are employed for filtering signal while word resolution is m bits. One pass employs one processing element (PE), and the number of PEs is independent of the number of samples. Therefore, we only need m PEs for real-time operation. With 8-bits resolution, the system gate-count is less than 5k. Moreover, this median architecture could be easily modified to consist of the programmable feature that may choose the better sampling number to filter signal. It should be also noted that our proposed processing flow has a progressive property, which is very suitable for bandwidth-...
A novel parallel pipelined least-mean-square algorithm is proposed by introducing parallel processin...
Abstract—The main contributions of this paper are in designing fast and scalable parallel algorithms...
10.1109/ICOSP.2010.5655365International Conference on Signal Processing Proceedings, ICSP426-42
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each...
Several DSP algorithms need to remove high-frequency or impulsive noise while preserving edges, e.g...
This paper presents the design and implementation on a Field Programmable Gate Array (FPGA) of a 2-D...
Abstract: This paper deals with developing a efficient VLSI architecture for median filter to remove...
The time to process each of the W/B processing blocks of a median calculation method on a set of N W...
This paper proposes a class of parallel iterative median-type filters to restore signals degraded by...
The 2-D median filter, one of the oldest and most well-established image-filtering techniques, still...
The image processing capability of a multiple instruction stream, multiple data stream (MIMD) archit...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
This work develops some algorithms for efficient implementation of mean and separable median filters...
Several DSP algorithms need to remove high-frequency or impulsive noise while preserving edges, e.g....
The two-dimensional (2D) spatial median filter is the most commonly used filter for image denoising....
A novel parallel pipelined least-mean-square algorithm is proposed by introducing parallel processin...
Abstract—The main contributions of this paper are in designing fast and scalable parallel algorithms...
10.1109/ICOSP.2010.5655365International Conference on Signal Processing Proceedings, ICSP426-42
The median filter is a non-linear filter used for removal of salt and pepper noise from images. Each...
Several DSP algorithms need to remove high-frequency or impulsive noise while preserving edges, e.g...
This paper presents the design and implementation on a Field Programmable Gate Array (FPGA) of a 2-D...
Abstract: This paper deals with developing a efficient VLSI architecture for median filter to remove...
The time to process each of the W/B processing blocks of a median calculation method on a set of N W...
This paper proposes a class of parallel iterative median-type filters to restore signals degraded by...
The 2-D median filter, one of the oldest and most well-established image-filtering techniques, still...
The image processing capability of a multiple instruction stream, multiple data stream (MIMD) archit...
International audienceThe well-known method of median filtering is used both in a wide range of appl...
This work develops some algorithms for efficient implementation of mean and separable median filters...
Several DSP algorithms need to remove high-frequency or impulsive noise while preserving edges, e.g....
The two-dimensional (2D) spatial median filter is the most commonly used filter for image denoising....
A novel parallel pipelined least-mean-square algorithm is proposed by introducing parallel processin...
Abstract—The main contributions of this paper are in designing fast and scalable parallel algorithms...
10.1109/ICOSP.2010.5655365International Conference on Signal Processing Proceedings, ICSP426-42