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

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.