Method for suppressing salt-and-pepper noise based on image dithering

Abstract

The invention discloses a method for suppressing salt-and-pepper noise based on image dithering. The method includes the following steps: inputting the pixel value of a certain pixel that obtains an image; determining a pixel bit number n, imparting the pixel values corresponding to the first H bits from high to low to a first temporary storage amount A; making L=n-H, and imparting the pixel value corresponding to L to a second temporary storage amount B; making I=random (L), I being a random integer between -2L-1 and 2L-1; making B=B+1; conducting boundary inspection on B value; imparting a new pixel value f (x, y)=A+B to the pixel at (x, y); repeating the aforementioned procedures on the entire image, and completing image processing. According to the invention, the method, by introducing random integers within a certain range to a low L of a video image, can suppress salt-and-pepper noise, makes the video image more smooth, and provides better vision effects.

Description

technical field [0001] The invention relates to image enhancement technology in digital video image processing, in particular to a method for suppressing salt and pepper noise based on image shaking technology. Background technique [0002] The development of digital image processing began in the early 1960s, and it was the Jet Propulsion Laboratory of the United States that was successfully applied for the first time. They used image processing techniques, such as geometric correction, grayscale transformation, and noise removal, to process thousands of lunar photos sent back by the space probe Ranger 7 in 1964, and took into account the position of the sun and the environment of the moon. Impact, a computer successfully mapped the lunar surface, was a huge success. Another great achievement of digital image processing is the result obtained in medicine. In 1972, Housfield, an engineer of British EMI Company, invented an X-ray computerized tomography device for head diagn...

AI Technical Summary

Problems solved by technology

Salt and pepper noise is a kind of noise that seriously damages the image quality and widely exists in digital image processing. At present, the traditional median filter algorithm is generally used for salt and pepper noise. Although it can suppress the salt and pepper noise to a certain extent, there is a large The blindness of the image, the same processing method is used for all pixels, while filtering out the noise, the pixel values ​​​​of some non-noise points will also be changed, resulting in the loss of image details to a large extent

Especially in some conditions where the noise is particularly large and the required information needs to be obtained by the naked eye, if a filter is used for noise reduction, a lot of important information will be lost

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