Grayscale Image Tamper Detection and Recovery Based on Vector Quantization
Jun-Chou Chuang, Yu‐Chen Hu, Chun-Chi Lo, Wu-Lin Chen · International Journal of Security and Its Applications · 2013
This paper proposes a tamper detection and image recovery method for digital images.The proposed method not only locates the alterations but also recovers the tamper regions.In this method, the vector quantization scheme is employed to generate the authentication data.The image to be protected is first compressed by the vector quantization scheme to generate the indices for image blocks.Multi-copies of the indices are embedded into the selected blocks by the pseudo random number generator.To detect the tamper regions, the authenticaiton procedure employes the forward detection strategy and the backward detection mechanism to find out the image modifications.The tamper regions can then be recovered by using the authentication data that was embeded previously if needed.From the experimental results, it is shown that the tamper regions can be clearly detected and well recovered.