Hash-based identification of JPEG 2000 images in encrypted domain

Abstract

A hash-based identification method for JPEG 2000 images is proposed in this paper. A new algorithm is introduced to calculate the hash value from the number of zero-bit-planes that can be extracted from the JPEG 2000 codestream by only parsing the header information. Furthermore, the proposed method uses hash value, and therefore, the length of the data used for identification is fixed. The processing speed of the proposed method should be fast since a fixed length data is used for the identification. The method avoids estimating an image from the feature because it uses hash value. Moreover, the image data can be encrypted because it uses pre-calculated hash value for identification. The experimental results showed the effectiveness of the proposed method.