Image de-noising method and device

Abstract

The invention relates to an image de-noising method and device. According to the image de-noising method, pixels in an image are recursively filtered, and the following modes are adopted to obtain the filtering intensity of pixels to be processed currently: edge information on the chrominance component in the horizontal and vertical direction of a central pixel is calculated, a maximum value is selected as a first edge information maximum value; the variance of an image block is calculated; the maximum value of the first difference of the central pixel and filtered pixels selected from the (k-1)-th row / (k-1)-th column of the image block is calculated; edge information on the luminance component of the central pixel is calculated; whether a frequency region where the center pixel is located a flat region is determined; if the frequency region where the center pixel is located a flat region, the current brightness of the center pixel is calculated; and first filter intensity is obtained according to the current brightness and is adopted as the filtering intensity of the center pixel. With the image de-noising method and device provided by the above technical schemes of the invention adopted, the noise removal effect of noises can be ensured, and the tailing phenomenon of the de-noised image can be avoided.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image denoising method and device. Background technique [0002] Whether it is a digital camera, a mobile phone camera, or a computer camera, in the process of image collection, it will be more or less disturbed by color noise. Generally speaking, in order to suppress color noise, the most common method is to design a filter to filter it out. For the high-frequency characteristics of color noise, a series of low-pass filters are usually designed to suppress it. This type of filter uses a template of a certain size. In order to effectively remove color noise with a lower frequency, a larger template is often used, and a recursive filter (Infinite Impulse Response, IIR) is often used to simulate the denoising function of a larger template due to its unique transfer characteristics. [0003] In order to filter out color noise, at present, when using IIR, the following steps are...

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Problems solved by technology

[0005] The problem solved by the present invention is how to avoid the smearing phenomenon of the image after denoising while ensuring the noise denoising effect

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