Average filtering method eliminating image impulse noise fast and efficiently

Abstract

The invention discloses an average filtering method eliminating image impulse noise fast and efficiently. The method comprises the following steps that filtering windows of images are set in the 8-bit grey-scale images, if the grey value of center pixels is 0 or 255, the pixels are suspected to be the noise pixels, and otherwise the pixels are the signal pixels; if the pixels are suspected to be the noise pixels, the signal pixels are extracted from the boundary pixels to form a set, and if the pixels are the signal pixels, the pixels are not processed; if the set formed by the extracted signal pixels is a non-null set, processing is not carried out, and if the set is a null set, two is added to the number of the filtering windows until the new set is a non-null set; the element grey value average of the set is used for replacement, and processing of the above steps is repeated until all suspected noise pixels obtain the filtered images. The method has good abilities to eliminate noise and maintain details, is high in practicality, and achieves adaptive filtering of the images, high-density impulse noise can be eliminated simply and efficiently, the edge and image details are retained, and the efficiency is higher than that of a traditional filtering method.

Description

technical field [0001] The invention relates to a method for removing salt-and-pepper noise from an image, in particular to a mean filtering method for quickly and efficiently removing salt-and-pepper noise from an image. Background technique [0002] The image is affected by factors such as the external environment and the quality of sensor components during the process of image acquisition, transmission, and reception. Different types of noise are introduced to degrade the image quality, among which salt and pepper noise is one of the common noises. Whether the salt and pepper noise can be effectively removed plays an important role in image segmentation and image feature recognition. The traditional method of processing salt and pepper noise uses image-related parameters to detect and eliminate noise, but while removing noise, it also modifies the gray value of non-noise pixels, and the calculation time is long. Contents of the invention [0003] In order to solve the ...

AI Technical Summary

Problems solved by technology

The traditional method of processing salt and pepper noise uses image-related parameters to detect and eliminate noise, but while removing noise, it also modifies the gray value of non-noise pixels, and the calculation time is long

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