Adaptive grayscale adjustment-based stripe noise removal method of single image

•We propose an effective stripe noise removal method which can eliminate most stripe noise and rarely produce artifact.•We extract accurate stripe noise spectral of each frame image.•We compute the new histogram of current column image according to stripe noise spectrum proportion.•In the histogram grayscale processing, the coefficient weight of bilateral filtering function is adopted. An effective adaptive grayscale adjustment-based stripe noise removal method of single image is presented. In this method, we extract all stripe noise spectra from each frame, and then exclude relatively stationary images by sub-pixel registration to obtain continuously moving image sequences. By accumulating the same frequency spectra of the image sequences, we acquire accurate stripe noise spectra. Using the proportion of each stripe noise spectrum, we calculate the new histogram of the current column image, thereby effectively diminishing all frequency noises. In using the histogram for grayscale processing, we adopt the coefficient weight of the bilateral filtering function. Through intensity and distance factors, this function controls the ratio of the column histograms included in the calculation of the new current column histogram. This prevents the production of artifacts in the proposed method. Experiments demonstrate that our algorithm efficiently removes stripe noise and exhibits better performance than do the other algorithms discussed in literature.