Images can be affected by quasi-periodic noise. This undesirable feature manifests itself by spurious repetitive patterns covering the whole image, well localized in the Fourier domain. While notch filtering permits to get rid of this phenomenon, this however requires to first detect the resulting Fourier spikes, and, in particular, to discriminate between noise spikes and spectrum patterns caused by spatially localized textures or repetitive structures. This paper proposes a statistical a-contrario detection of noise spikes in the Fourier domain. A Matlab code is also provided. Index Terms-quasi-periodic noise, a-contrario method.
The method was adapted to a-contrario detection in REF .
An a-contrario approach to quasi-periodic noise removal
2015 IEEE International Conference on Image Processing (ICIP)
2015 IEEE International Conference on Image Processing (ICIP)
Computer Science