Blind estimation method of rotation angles of digital images

A rotation angle, digital image technology, applied in the direction of graphic image conversion, image data processing, image data processing, etc., can solve the problem of blind image detection, qualitative detection cannot be quantitative, etc., and achieve the effect of high detection accuracy and low algorithm complexity.

Inactive Publication Date: 2013-04-03
SHANGHAI UNIVERSITY OF ELECTRIC POWER
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0031] The present invention aims at the problem that the current image blind detection is only qualitative and cannot be quantified, and proposes a blind estimation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Blind estimation method of rotation angles of digital images
  • Blind estimation method of rotation angles of digital images
  • Blind estimation method of rotation angles of digital images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] A method for blindly estimating the rotation angle of a digital image. For the rotated grayscale image, if it is a color image, take its brightness component after YCbCr space transformation, firstly perform second-order difference or Laplacian filtering on the image to be detected to obtain the difference image, and perform the difference image row by row (or column by column) ) is processed as follows: pad zero at the end to obtain a length of N 0 the vector V, N 0 is an integer power of 2; find the discrete Fourier transform of V, take the amplitude spectrum D=|DFT(V)|; search for D, if D ( k ) as its neighbor [ k -Δ, k +Δ] within the maximum value, then let the peak counter c ( k )= c ( k )+1. Will c ( k ) normalized to obtain the frequency-peak count map, and the rotation angle of the image can be determined by detecting the frequency corresponding to the peak value.

[0052] The above method as figure 1 The detection block diagram shown, the spec...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a blind estimation method of rotation angles of digital images. If rotary gray level images are color images, luminance components are obtained after spatial alternation of YCbCr, difference images are obtained by conducting second order difference or laplace filtering on images to be detected, and the difference images are processed line by line (or row by row); a vector quantity V with the length of N0 is obtained after zero filling at the tail end, and the N0 is integer power of 2; the discrete Fourier transform of the V is obtained, the magnitude spectra D=|DFT(V)| is obtained; the D is searched, if the D(k) is a maximum value in a neighborhood region [k-delta, k+delta], and a peak value counter c(k)=c(k)+1. Normalization is carried out on the c(k) to obtain a frequency-peak value counting picture, and the rotation angles of the images can be determined by detecting the frequency corresponding to the peak value. Blind estimation can be achieved without priori knowledge such as original images before rotation or reference templates, the blind estimation method is basically not influenced by image joint photographic expert group (JPEG) compression storage quality factors, the algorithm complexity is low, detection precision is high, size of the images is big, and estimated accuracy is high.

Description

technical field [0001] The invention relates to a digital image processing technology, in particular to a method for blindly estimating the rotation angle of a digital image. Background technique [0002] Rotation is a routine operation in digital image processing. In applications such as image registration and image stitching, the estimation of rotation angle plays an important role. In the study of digital watermarking, geometric attacks on watermarks, especially rotation attacks, make it difficult to extract watermarks from images. Therefore, blind estimation of rotation angles is also important in combating geometric attacks. With the increasing popularity and ease of operation of image processing software, it is becoming more and more difficult to detect malicious tampering of images (especially carefully crafted synthetic images), and the process of synthetic tampering of images is usually accompanied by image scaling and rotation. Detecting the rotation characterist...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T3/60G06T1/00
Inventor 魏为民
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products