Topic
Median filter
About: Median filter is a research topic. Over the lifetime, 12479 publications have been published within this topic receiving 178253 citations.
Papers published on a yearly basis
Papers
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TL;DR: A spectral conjugate gradient (CG) method for impulse noise removal, which is based on a two-phase scheme, and a favorite property of the proposed method is that the search direction generated at each iteration is descent.
47 citations
TL;DR: The results show that from both a PSNR and a visual quality, the proposed filter outperforms the other state of the art filters for different image sequences.
Abstract: This paper presents a non-linear technique for noise reduction in video that is suitable for real-time processing The proposed algorithm automatically adapts to detected levels of detail and motion, but also to the noise level, provided it is short-tail noise, such as Gaussian noise It uses a one-level wavelet decomposition, and performs independent processing in four different bands in the wavelet domain The non-decimated transform is used because it leads to better results for image/video denoising than the decimated transform The results show that from both a PSNR and a visual quality, the proposed filter outperforms the other state of the art filters for different image sequences
46 citations
TL;DR: An objective measure quantifying the detectability of lesions in echographic images was employed and an optimum window size appeared to be present in the curves relating the Lesion Signal-to-Noise Ratio to this size.
46 citations
07 Nov 2002
TL;DR: The presented results demonstrate the robustness of the method against some common image processing attacks such as compression, scaling, uniform or gaussian noise addition, median filtering, cropping and multiple watermarking.
Abstract: A novel scheme for the watermarking of colour images is presented in this communication. The first objective is to find the most suitable alternative to RGB color space, which is highly correlated. Colour spaces with linear relation to RGB colour space with uncorrelated components are found to be most suitable for watermarking applications. Second objective is to make the scheme adaptive to o/spl circ/c$80a/spl ring/ colour image. This is achieved by keeping the PSNR in a predefined quality range, while timing the watermark strength parameter. Watermark detection is fast and blind, i.e. only the watermark generation and coefficient randomization keys are needed, and not the original image. The presented results demonstrate the robustness of the method against some common image processing attacks such as compression, scaling, uniform or gaussian noise addition, median filtering, cropping and multiple watermarking.
46 citations
TL;DR: The proposed impulse noise detector is established based on the rank order arrangement of the pixels in the sliding window and overcomes the above weakness such that the switching median filter is much effective in impulse noise removal.
Abstract: In this paper, the switching median filter is modified by adding one more noise detector to improve the capability of impulse noise removal. The proposed impulse noise detector is established based on the rank order arrangement of the pixels in the sliding window. The original switching median filter cannot detect the noise pixel whose value is close to its neighbors if the threshold is designed for emphasizing the detail preservation. Therefore, it is hard to recognize a noise-like pixel as a noise or a noise-free pixel in the sliding window. The proposed impulse noise detector overcomes the above weakness such that the switching median filter is much effective in impulse noise removal.
46 citations