Adaptive Bilateral Filtering Image Denoising Method

Abstract

The invention discloses an adaptive bilateral filtering de-noising method for images. The adaptive bilateral filtering de-noising method includes computing gradient directions and gradient values of various pixels of a given image; setting grayscale value variance of a bilateral filtering value-domain filtering kernel function of each current pixel according to the correlation of the gradient direction of the current pixel and the gradient value of the current pixel; setting a grayscale average value of the bilateral filtering value-domain filtering kernel function of each current pixel, and computing a difference value between a pixel value of the current pixel and the grayscale average value; discretizing the obtained grayscale value variance and the obtained difference values and computing values of the value-domain filtering kernel function to acquire a grayscale filtering coefficient table; and constructing a bilateral filtering function according to grayscale filtering coefficients, and performing bilateral filtering processing for the given image by the aid of the bilateral filtering function to obtain a de-noised image. The adaptive bilateral filtering de-noising method has the advantages that the importance of edge information and shortcomings of standard bilateral filtering de-noising effects are sufficiently considered, a de-noising effect is improved for areas with different characteristics by the aid of the adaptive coefficients, and the computational complexity is reduced by a table look-up mode.

Description

technical field [0001] The invention relates to the technical fields of digital image processing and computer vision, in particular to an adaptive bilateral filtering algorithm. Background technique [0002] With the popularization of various electronic devices such as computers and mobile phones and the advancement of network technology, the processing and application of digital images are becoming more and more extensive. Game entertainment and social network are more and more respected by modern people, and these fields need the support of digital image signals. Moreover, with the research and application of large-scale data visualization technology, it has provided great convenience to traditional industries such as medical care and aerospace. These applications also put forward higher requirements for the acquisition and transmission of digital images, and noise will inevitably be introduced in these processes. Therefore, denoising of digital images is an important pa...

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Problems solved by technology

[0012] In the above bilateral filter function expression, σ r In the standard algorithm, it is a set value, the denoising effect of different areas is quite different, and the stability is poor

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