Error detection of JPEG files with JHOVE and Bad Peggy – so who’s the real Sherlock Holmes here?

Error detection of JPEG files with JHOVE and Bad Peggy – so who’s the real Sherlock Holmes here?  Yvonne Tunnat. Yvonne Tunnat's Blog. 29 Nov 2016.
     Post that describes an examination of the findings of two validation tools, JHOVE (Version 1.14.6) and Bad Peggy (version 2.0), which scans image files for damages, using the Java Image IO library. The goal of the test is to compare the findings from these validation tools and know what to expect for digital curation work. There were 3070 images for the test, which included images from Google's publicly available Imagetestsuite. Of the images, 1,007 files had problems.

The JHOVE JPEG module can determine 13 different error conditions; Bad Peggy can distinguish at least 30 errors. The results of each are in tables in the post. The problem images could not be opened and displayed or had missing parts, mixed up parts and colour problems. The conclusion is that the tool Bad Peggy was able to detect all of the visually corrupt images. The JHOVE JPEG module missed 7 corrupt images out of 18.

Digital Preservation Matters.