HSB-SPAM: An Efficient Image Filtering Detection Technique

Median filtering is being used extensively for image enhancement and anti-forensics. It also to disguise the traces of processing operations such as JPEG compression resampling when utilized in de-noising smoothing tool. In this paper, a robust forensic technique namely HSB-SPAM proposed assist median detection. The considers higher significant bit-plane (HSB) highlight statistical changes efficiently. Further, multiple difference arrays along with first order pixel separate difference, Laplacian applied extract feature set. To compact size vectors, operation thresholding on utilized. As result, detector able detect median, mean Gaussian accuracy than existing detectors. experimental results, performance validated small post compressed images, where it shown that method outperforms state art detectors most cases.