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Image Restoration Method Based on Smoothing Correction

An image restoration and image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as blurred edges and details

Active Publication Date: 2016-04-06
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the edges and details of the image are still blurred to a certain extent

Method used

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  • Image Restoration Method Based on Smoothing Correction
  • Image Restoration Method Based on Smoothing Correction
  • Image Restoration Method Based on Smoothing Correction

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Embodiment Construction

[0044] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] Refer to the process figure 1 , the specific steps of the image restoration method based on smoothing correction are as follows:

[0046] Step 1, the digital image is often not an ideal image but an image containing noise due to interference in the process of acquisition and transmission. Iteratively select elements in the noisy image as elements to be processed. The window is divided as figure 2 As shown, the input noisy image is used as the global window O, and a local sliding window L centered on the pixel x to be processed is set in the global window O.

[0047]Step 2, calculate the similarity between the element x to be processed in the input noisy image and the reference pixel y in the search area, and obtain the weights of all reference pixels in the search area

[0048] w ( x , y...

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Abstract

The invention discloses a method for restoring images based on smooth correction. The method includes the steps that noisy images are input, the similarity of elements x to be processed and reference pixels y in a search area is calculated, and weights of all reference pixel points in the search area are obtained; weighted averaging is conducted on all the pixel points in the search area according to the calculated weights of all the reference pixels in the search area to obtain gray values of the corrected pixel points; after all the pixels in the noisy images are processed, the gray values of the corrected pixel points are utilized to replace gray values of the pixel points in the noisy images to obtain observation images; an estimated state equation and an observation equation of the images are built, and a two-dimensional block Kalman filter and front feedback smoothing method is utilized to denoise the observation images to obtain the denoising images. According to the method for restoring the images, after an estimated value of a true value at the n+1 position is obtained, the estimated value at the position before the n+1 position is corrected through the smooth and feedback thought, and the restored quality of the images can be improved on the premise that calculation complexity is not increased.

Description

technical field [0001] The invention belongs to the field of computer image processing, in particular to an image restoration method based on smoothing correction. Background technique [0002] Digital images will be polluted by noise in the process of acquisition, conversion and transmission. Image restoration (restoration) is one of the main contents of computer image processing. Its purpose is to eliminate or alleviate the image quality degradation or degradation caused in the process of image acquisition and transmission, and restore the original appearance of the image. [0003] Traditional denoising methods can be roughly divided into two categories, one is the method based on the spatial domain, and the other is the method based on the transform domain. The more classic methods of spatial denoising methods include Gaussian filtering, median filtering, and bilateral filtering. The spatial domain methods all directly process the grayscale of the image. The method of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 王好谦杨江峰李凯张永兵戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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