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Blurred kernel inversion method for blurred retouching images based on blurred deformation Riemann measure

A fuzzy kernel, image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of trust crisis, defrauding public trust, and reducing the credibility of digital media.

Active Publication Date: 2014-08-20
NANJING TECH UNIV
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Problems solved by technology

At the same time, edited images are used in advertisements, media, and the Internet to defraud public trust, reduce people's credibility in digital media, and trigger a crisis of trust

Method used

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  • Blurred kernel inversion method for blurred retouching images based on blurred deformation Riemann measure
  • Blurred kernel inversion method for blurred retouching images based on blurred deformation Riemann measure
  • Blurred kernel inversion method for blurred retouching images based on blurred deformation Riemann measure

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Embodiment Construction

[0019] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0020] As a two-dimensional signal, an image can be represented in multiple transform domains, such as frequency domain (Fourier transform domain), Laplace domain, etc. The essence of Gaussian blur is image filtering. The Gaussian kernel function (normal distribution) is used to calculate the blur matrix, and the blur matrix is ​​convolved with the source image to perform blurring. The blur operation can be expressed in the time domain as the convolution of the source image I(x,y) and the Gaussian blur kernel function G(x,y,δ), as shown in the following formula.

[0021] I blur ( x , y ) = I ( x , y ) * G ( ...

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Abstract

The invention discloses a fuzzy kernel inversion method for fuzzy retouched images based on fuzzy invariant Riemann measures, and belongs to the technical field of digital image trust authentication. The method of the present invention utilizes the isometric properties of the image before and after blurring in the logarithmic Fourier domain, and recovers the blur kernel from the blur-independent quantities before and after image blurring through the Riemannian geodesic distance. The method of the present invention can effectively and accurately recover the Gaussian blur kernel from the blur-retouched image. The recovered Gaussian blur kernel can be used to create a blurred image from the source image and identify whether the image is blur-retouched; and can also be used to extract the blurred image from the blurred image. Recover a "clean" image.

Description

technical field [0001] The invention discloses a fuzzy kernel inversion method for a fuzzy retouched image based on a fuzzy invariant Riemann measure, and belongs to the technical field of digital image credible authentication. Background technique [0002] With the rapid development of image acquisition and image editing technology, digital images have been integrated into modern people's lives. Using image editing software, it is easy to retouch and synthesize existing images to create pleasing pictures. These beautifully edited images are mostly used on the Internet, digital media documents, social media, etc., and play an irreplaceable role in expressing individuality, beautifying media space, and enriching people's spiritual communication. At the same time, edited images are used in advertisements, media, and the Internet to defraud the public's trust, reduce people's credibility in digital media, and trigger a crisis of trust. Therefore, it is very urgent to study dig...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 杜振龙金雨霏李晓丽
Owner NANJING TECH UNIV
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