The Impact of Image Processing on Perceptual Hash Values
Matej Ferenčak, Petra Grd, Igor Tomičić · 2023
In the last few decades image processing has become the focus of research in different fields. It can be used to extract information from images, improve their quality and make it easier for computers to understand them. Some of the challenges that pose a great problem for working with images are detecting modified images or detecting similar images. In order to address those challenges, image hashing can be used. Hashing is calculating a digest value from images and perceptual hash algorithms are a type of hash algorithms with the main idea that similar data has similar hash values, which means that the hash values remain approximately the same if the content is not significantly modified. This paper will compare different perceptual hash algorithms, apply them to differently modified images and analyse the impact of those modifications on perceptual hash values provided by different algorithms. The obtained values will be compared and advantages and disadvantages of different algorithms will be discussed.