Image noise intensity processing method
A noise intensity and processing method technology, applied in the field of image processing, can solve problems such as large estimation deviation, poor performance, and limited scope of application, and achieve the effect of accurate calculation and reduced interference
Inactive Publication Date: 2013-09-18
柳薇
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Problems solved by technology
At present, there are few studies on the estimation of noise intensity, and the existing algorithms are generally not widely applicable.
Algorithms that are more accurate in estimating low-noise intensity do not perform well in high-noise environments; while algorithms that are suitable for high-noise situations often have large estimation deviations in low-noise environments
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Embodiment 1
[0023] The present invention will be further elaborated below in conjunction with accompanying drawing, the present invention provides a kind of image noise intensity processing method, and it comprises the following steps:
[0024] Step A: Singular value decomposition is performed on the noisy image whose noise intensity σ is unknown;
[0025] Step B: Select the tail M singular values in step A to obtain their average value P;
[0026] Step C: Add noise intensity σ to the noisy image whose noise intensity σ is unknown 1 Gaussian white noise, the noise intensity is obtained as The new noisy image; adding Gaussian white noise is an image content-related parameter set for the convenience of providing noise estimation, and is an essential step.
[0027] Step D: performing singular value decomposition on the new noisy image after adding Gaussian white noise in step C;
[0028] Step E: Select the tail M singular values in step D to obtain their average value P 1 ;
[0029...
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The invention discloses an image noise intensity processing method, comprising the following steps of: A, carrying out singular value decomposition on a noise image with unknown noise intensity sigma; B, selecting M singular values from the tail part in the step A and calculating an average value P of the M singular values; C, adding a Gauss white noise with the noise intensity sigma1 to the noise image with the unknown noise intensity sigma so as to obtain a new noise image with the noise intensity sqrt(sigma<2>+sigma1<2>); D, carrying out the singular value decomposition on the new noise image which is added with the Gauss white noise; E, selecting M singular values from the tail part in the step D and calculating an average value P1 of the M singular values; and F, obtaining a noise intensity evaluation value from the average value P and the average value P1. According to the method disclosed by the invention, the noise value of the noise image is accurately evaluated through the calculation of the singular value tail data of the noise image, the interference of the image to the noise evaluation is reduced, and the parameters, which are related to the image content and set during the noise evaluation process, are conveniently provided due to the addition of the Gauss white noise with the known intensity into the noise image.
Description
technical field [0001] The invention relates to the field of image processing methods, in particular to an image noise intensity processing method. Background technique [0002] Noise is unavoidable in the process of image acquisition, processing and transmission. Sources of noise include photosensitive film particles, such as scanners, digital camera sensors and circuit devices, digital equipment photon detectors, image quantization encoders, and communication channels. Denoising is generally an indispensable preprocessing step in various image processing applications, but most denoising algorithms have an assumption that the noise intensity is known in advance. In practical applications, the noise intensity is generally taken as an empirical value based on experience. At present, there are few studies on the estimation of noise intensity, and the existing algorithms generally have a limited scope of application. Algorithms that are more accurate in estimating low-noise ...
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IPC IPC(8): G06T5/00
Inventor 柳薇
Owner 柳薇