Hash based identification of JPEG 2000 images with different coding parameters

A hash based identification method of JPEG 2000 images with different coding parameters is presented. The method correctly identifies the compressed JPEG 2000 images encoded even if there are difference in the coding parameters, such as coding-rate and quantization step sizes. A new algorithm is introduced to calculate hash values from the number of zero-bit-planes that can be extracted from the JPEG 2000 codestream by only parsing the header information. Because the proposed approach uses the hash values, the length of data to identify images is fixed. Using the fixed length data, processing speed of the proposed approach should be fast. This feature is not provided by conventional methods. The experimental results revealed the effectiveness of the processing speed of the proposed method.