Image processing device and method for reducing image noise thereof
An image processing device and noise suppression technology, applied in the field of image processing, can solve the problems of memory consumption, high computational complexity, and the need for additional reference images, and achieve the effect of reducing computational complexity
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[0038] In the image processing technology, the noise suppression in the image mostly uses a filter to perform convolution (Convolution) operation on each pixel, so the weight value of the mask used in the filter is the key factor affecting the image quality. Filters can be divided into fixed value filters and non-fixed value filters. The fixed-value filter uses the same low-pass filter mask to process each pixel. Its method is simple but it is easy to blur the image, such as the average filter and Gaussian filter. The non-fixed value filter dynamically adjusts the weight value of the mask in the filter according to the regional characteristics of each pixel. If the pixel is a boundary (high frequency), the weight value is higher, and the pixel is smooth (low frequency), the weight value is lower. In order to achieve the effect of suppressing noise and clearing the picture, well-known methods such as bi-directional filter and guided filter are used. However, both the Gaussian ...
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