Digital image processing method digital image processing device

Abstract

The invention discloses a digital image processing method digital image processing device, wherein the digital image processing method comprises the steps of: using an N*N gauss filtering template to successively process pixel points in a digital image by scanning from left to right line by line; in the processing process of the pixel points in the digital image, introducing a row vector [n1,n2...n3] to store weight values from a second column to an Nth column which are generated in the processing process of the pixel points; and in the processing process of the pixel points in the digital image except those in the (N+1) / 2th column, utilizing two columns of weighted values which are previously stored in the gauss filtering template to calculate new gray values of the pixel points. According to the scheme, the calculating amount for processing the pixel points is effectively reduced, and the cache space needed in the pixel points processing process is saved.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a digital image processing method and a digital image processing device. Background technique [0002] In image processing (also called image processing), Gaussian filters are often used to denoise images. In layman's terms, the Gaussian filter is a process of weighted average of the entire image, and the value of each pixel is obtained by weighted average of itself and other pixel values ​​in the neighborhood. The specific operation of Gaussian filtering is: use a Gaussian filtering template (or convolution, mask) to scan each pixel in the image, and replace the center pixel of the template with the weighted average gray value of the pixels in the neighborhood determined by the template The grayscale value of the point. [0003] The following is a practical example to describe the traditional digital image processing scheme based on Gaussian filter: Suppose Gaussian fil...

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Problems solved by technology

[0006] It can be seen from the above formula that if the traditional digital image processing scheme based on Gaussian filter is used to process the image, the processing of each pixel needs to go through 9 times of multiplication and 8 times of addition. The processing needs to call the gray value of 9 pixels in the image (such as a in the above announcement 11 to a 33 ), which also puts a lot of pressure on the cache space

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