Processing history recovery is a branch of digital forensic that deals with non-malicious processing such as image compression. Different types of compression leaves different artefacts which make it harder to have a universal audit trail process. This paper investigates the processing history of a JPEG2000 compressed images. We present a novel rule based compression strength estimation technique for JPEG2000 images. The technique uses a no-reference (NR) perceptual blur metric and double compressions calibration to produce a heuristic rule based algorithm, which classifies an image into three compression categories. These categories are derived subjectively and represent high, medium and low compression for a compression range of 0.1 to 0.9 bits per pixel (bpp). The technique works based on the assumption that blur artefact contained in a JPEG2000 compressed image can be linked to blur artefact contained in the calibrated double compressed image. Based on this observation, three ratios can be calculated by comparing the levels of blur of the target image and its calibrated editions, which can then be used to form three rules each corresponding to a category of JPEG2000 compression strength. For our experiments we have used 100 images to identify rules and 100 for blind testing of our scheme. Comprehensive testing showed that the compression rate of JPEG2000 images can be estimated into high, medium and low compression category with 90% accuracy.