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Method of quickly eliminating composite noise in images

A mixed noise and image technology, applied in image communication, image enhancement, image data processing, etc., can solve the problems of only removing one type of noise, difficult real-time image processing, etc., and achieve the effect of improving peak signal-to-noise ratio

Active Publication Date: 2010-10-13
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0026] The technical problem to be solved by the present invention is: in view of the various filtering algorithms described in the background technology, it is difficult to quickly process real-time images or can only remove one kind of noise, and the denoising ability needs to be improved. The noise method can remove salt and pepper noise and Gaussian noise at the same time, improve the peak signal-to-noise ratio of the image, and obtain a clearer image

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  • Method of quickly eliminating composite noise in images
  • Method of quickly eliminating composite noise in images

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Embodiment Construction

[0052] Assume that the original noise-free image is added with a mean of 0 and a variance of σ ε 2 Gaussian white noise and salt-and-pepper noise pollution, then the noisy image in the airspace can be expressed as

[0053] y(i,j)=s(i,j)+ε 1 (i,j)+ε 2 (i, j) (3)

[0054] Among them, s(i, j) represents the original image, ε 1 (i, j) represents Gaussian white noise, ε 2 (i, j) represents salt and pepper noise. The purpose of image denoising is to restore the original image s(i, j) from the noisy image y(i, j) as much as possible.

[0055] Overall, as figure 1 As shown in the flow chart of the image denoising algorithm of the present invention, the noise-containing image is firstly subjected to median filtering to remove the salt and pepper noise, and then the spatial adaptive bilateral filtering algorithm is used to remove Gaussian noise from the image to obtain the final denoising image , wherein when performing the space-adaptive bilateral filtering algorithm, it is nec...

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Abstract

The invention discloses a method of quickly eliminating composite noise in images, which can eliminate salt and pepper noise and Gaussian noise at the same time, improve the peak signal to noise ratio(PSNR) of the images and obtain more clear images. The main technical idea comprises the following steps: the median of the images containing noise is filtered to obtain the images the salt and pepper noise of which is eliminated and space self-adaption two-sided filter is carried out on the images the salt and pepper noise of which is eliminated to obtain the images the Gaussian noise of which is eliminated, i.e. the final noise-free images. The calculation, data processing of the algorithm of the invention is definitely adapted to the real-time image quick process. The technical flow can be adjusted according to concrete application and requirement.

Description

technical field [0001] The invention relates to a method for quickly removing mixed noise in an image, in particular to spatial filtering processing. Background technique [0002] In recent years, digital photoelectric imaging equipment has been widely used in military and civilian fields such as digital photography, security monitoring, resource survey and ground investigation. Most digital optoelectronic imaging devices are based on CCD or CMOS image sensors. In the imaging process based on CCD or CMOS image sensor, the quality of the image will inevitably be affected by the influence of optical noise, noise of components such as resistors and capacitors, sensor noise, circuit noise, thermal noise and readout noise. The readout noise usually appears as independent bright or dark noise points on the acquired image, which can be described by salt and pepper noise; while other noises, such as optical noise, thermal noise and sensor noise, etc., their comprehensive noise effe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/217G06T5/00
Inventor 周祚峰曹剑中王华伟王浩唐垚唐利孬张海峰董森
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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