Topic
Impulse noise
About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: The function of the proposed circuit is to detect the existence of impulse noise in an image neighborhood and apply the operator of the median filter only when it is necessary, and the integrity of edge and detail information is preserved.
Abstract: In this paper, a new intelligent hardware module suitable for the computation of an adaptive median filter is presented for the first time. The function of the proposed circuit is to detect the existence of impulse noise in an image neighborhood and apply the operator of the median filter only when it is necessary. The noise detection procedure can be controlled so that a range of pixel values is considered as impulse noise. In this way, the blurring of the image in process is avoided, and the integrity of edge and detail information is preserved. Experimental results with real images demonstrate the improved performance. The proposed digital hardware structure is capable to process gray-scale images of 8-bit resolution and is fully pipelined, whereas parallel processing is used in order to minimize computational time. In the presented design, a 3/spl times/3 or 5/spl times/5 pixel image neighborhood can be selected for the computation of the filter output. However, the system can be easily expanded to accommodate windows of larger sizes. The proposed digital structure was designed, compiled and simulated using the MAX+PLUS II Programmable Logic Development System by Altera Corporation. For the implementation of the system the EPF10K200SRC240-1 field-programmable gate array device of the FLEX10KE device family is utilized, and it can be used in industrial imaging applications where fast processing is required. The typical clock frequency is 65 MHz.
31 citations
TL;DR: A very efficient method to restore image corrupted by high-density impulse noise by detecting both the number and position of the noise-free pixels in the image and iteratively executed to replace the neighbor noise pixels until convergence.
Abstract: Median filtering computation for noise removal is often used in impulse noise removal techniques, but the difficulties in removing high-density noise aspect restrict its development. In this paper, we propose a very efficient method to restore image corrupted by high-density impulse noise. First, the proposed method detects both the number and position of the noise-free pixels in the image. Next, the dilatation operation of the noise-free pixels based on morphological image processing is iteratively executed to replace the neighbor noise pixels until convergence. By doing so, the proposed method is capable to remove high-density noise and therefore reconstruct the noise-free image. Experimental results indicate that the proposed method more effectively removes high-density impulse noise in corrupted images in comparison with the other tested state-of-the-art methods. Additionally, the proposed method only requires moderate execution time to achieve optimal impulse noise removal.
31 citations
TL;DR: The proposed solution is a quaternion switching vector filter in which the impulse detection consists of two stages and the concept of peer group is modified and extended to the directional samples to further detect whether they are corrupted by impulse noise or not.
31 citations
27 May 2007
TL;DR: Wang et al. as mentioned in this paper proposed a fast and reliable impulse noise filter for highly corrupted images, which use a new powerful and efficient noise detection method to determine if current pixel has been corrupted by noise, if it's corrupted, a variable window median filter is used to attenuate impulse noise, while those uncorrupted pixels are remain unchanged.
Abstract: In this paper, we propose a fast and reliable impulse noise filter for highly corrupted images. The median filter was once the most popular nonlinear filter for removing impulse noise because of its good denoising power and computational efficiency, but the performance are unsatisfactory when noise ratio is high. So many algorithms have been proposed to improve the filter result. Recently, a switching median filter with boundary discriminative noise detection (BDND) was proposed, it is very effective and outperforms all previously proposed median-based filters, but it's very time-consuming in calculation. The proposed filter use similar scheme as in BDND, it is also very effective and much more efficient than BDND. The proposed method use a new powerful and efficient noise detection method to determine if current pixel has been corrupted by noise, if it's corrupted, a variable window median filter is used to attenuate impulse noise, while those uncorrupted pixels are remain unchanged. Results from computer simulations are used to demonstrate pleasing performance of our proposed method.
30 citations
30 citations