High Precision Image Rotation Angle Estimation with Periodicity of Pixel Variance

Author(s):  
Ruohan Qian ◽  
Weihai Li ◽  
Nenghai Yu ◽  
Bin Liu
2011 ◽  
Vol 268-270 ◽  
pp. 1488-1493 ◽  
Author(s):  
Cai Ling Wang ◽  
Chun Xia Zhao ◽  
Jing Yu Yang

A high accuracy rotation angle estimation algorithm based on Local Upsampling Fourier Transform (LUFT) is developed in this paper. The LUFT uses a hierarchical strategy to estimate the rotation, which consists of a transformation of rotation to translation, a fast coarse rotation estimation and a robust refinement stage as well. The coarse rotation is estimated through the conventional Phase Only Correlation (POC), then, it is refined by the resampling technique within a local neighborhood in frequency domain. Furthermore, as will be shown in many experiments, the LUFT can achieve high accuracy rotation estimation, where the accuracy is tunable to some extent. Specially, it is efficient and robust to noise.


Fast track article for IS&T International Symposium on Electronic Imaging 2021: Media Watermarking, Security, and Forensics 2021 proceedings.


Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1431
Author(s):  
Shuxian Dai ◽  
Yujin Zhang ◽  
Wanqing Song ◽  
Fei Wu ◽  
Lijun Zhang

Image rotation is a common auxiliary method of image tampering, which can make the forged image more realistic from the geometric perspective. Most algorithms of image rotation angle estimation employ the peak value on the Fourier spectrum; however, JPEG post-processing brings additional peak interferences to the spectrum, which has a great impact on algorithm performance. In this paper, angle estimation is carried out for images compressed by JPEG. Firstly, the Fourier cyclic spectrum of image covariance is calculated, followed by semi-soft threshold wavelet transform to eliminate the block artefacts brought by JPEG compression. According to the shortest distance principle in the range of the limited amplitude, the processed cyclic spectral data are sorted to select the peak points. Finally, according to the selected peak point, the corresponding position coordinates of the theoretical peak point are found, and the rotation angle of the image is estimated by the theoretical peak point. Experimental results demonstrate that the average absolute error of the proposed algorithm is significantly lower than that of the state-of-the-art methods investigated, which highlights the promising potential of the proposed method as an image resampling detector in practical forensics applications.


2017 ◽  
Vol 34 (3) ◽  
pp. 278
Author(s):  
Jiayu Chen ◽  
Jinghua Long ◽  
Houzhi Cai ◽  
Yubo Liao ◽  
Quanliang Guo ◽  
...  

2020 ◽  
Vol 2020 (0) ◽  
pp. 527
Author(s):  
Satoshi UENO ◽  
Hiroya KAWAMOTO ◽  
Changan JIANG

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