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

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

Active Publication Date: 2013-07-17
NANJING UNIV OF TECH
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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

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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

[0020] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0021] 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.

[0022] I blur (x,y)=I(x,y)*G(x,y,δ)

[0023] In the formula δ is the standard deviation of the normal distribution over the Gaussian kernel (referred to as the Gaussian blur kernel), and I blur (x,y) is the blurred retouched image, * is the convolution operation.

[0024] Let f be the R→...

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Abstract

The invention discloses a blurred kernel inversion method for blurred retouching images based on blurred deformation Riemann measure and belongs to the technical field of digital image trusted authentication. Isometries before and after image blurring of logarithm Fourier domains are used, and blurred kernels are recovered from the blurred irrelevant amount before and after the image blurring through Riemann geodesic distance. According to the blurred kernel inversion method, Gaussian blur kernels can be recovered effectively and accurately from the blurred retouching images, the recovered Gaussian blur kernels can be used for manufacturing blurred images from source images and identifying whether the images are subjected to blurred retouching, and the method can be further used for recovering 'clean' images from the blurred images.

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...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 杜振龙金雨霏李晓丽
Owner NANJING UNIV OF TECH
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