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
More filters
Patent•
20 May 2008TL;DR: In this paper, a content-dependent scan rate converter with adaptive noise reduction is proposed, which provides a highly integrated, implementation efficient de-interlacer, by identifying and using redundant information from the image (motion values and edge directions).
Abstract: A content-dependent scan rate converter with adaptive noise reduction that provides a highly integrated, implementation efficient de-interlacer. By identifying and using redundant information from the image (motion values and edge directions), this scan rate converter is able to perform the tasks of film-mode detection, motion-adaptive scan rate conversion, and content-dependent video noise reduction. Adaptive video noise reduction is incorporated in the process where temporal noise reduction is performed on the still parts of the image, thus preserving high detail spatial information, and data-adaptive spatial noise reduction is performed on the moving parts of the image. A low-pass filter is used in flat fields to smooth out Gaussian noise and a direction-dependent median filter is used in the presence of impulsive noise or an edge. Therefore, the selected spatial filter is optimized for the particular pixel that is being processed to maintain crisp edges.
111 citations
TL;DR: A system that enables processing of full resolution images, and a new algorithm for segmenting the nuclei under adequate control of the expert user are implemented, with promising results.
110 citations
TL;DR: Experimental results show that the proposed approach to efficiently remove background noise by detecting and modifying noisy pixels in an image cannot only efficiently suppress high-density impulse noise, but also can well preserve the detailed information of an image.
110 citations
TL;DR: A contour detection based image processing algorithm based on Mamdani (Type-2) fuzzy rules for detection of blood vessels in retinal fundus images that offers an improved dynamics and flexibility in formulation of the linguistic threshold criteria.
109 citations
TL;DR: A novel focus region detection method is presented, which uses guided filter to refine the rough focus maps obtained by mean filter and difference operator and is optimized to generate final decision map by using guided filter again.
Abstract: Being an efficient method of information fusion, multi-focus image fusion has attracted increasing interests in image processing and computer vision. This paper proposes a multi-focus image fusion method based on focus region detection using mean filter and guided filter. Firstly, a novel focus region detection method is presented, which uses guided filter to refine the rough focus maps obtained by mean filter and difference operator. Then, An initial decision map is got via the pixel-wise maximum rule, and optimized to generate final decision map by using guided filter again. Finally, the fused image is obtained by the pixel-wise weighted-averaging rule with the final decision map. Experimental results demonstrate that the novel focus region detection method has stronger robustness to different noises, and higher computational efficiency than other focus measures. Furthermore, the proposed fusion method implements efficiently and outperforms some state-of-the-art approaches both in visual effect and objective evaluation.
109 citations