In January 2025, Matteo Ottone focused on enhancing the image cropping accuracy within the pagopa/pn-pdfraster repository, addressing a persistent issue in the PDF rasterization pipeline. He implemented a fix in Java that adjusted the crop transformation logic to use Math.floor when calculating crop width and height during DPI-based scaling. This approach improved the consistency and reliability of image crops across varying DPI settings, reducing unintended cropping errors and ensuring uniform rendering downstream. Leveraging his skills in image processing and PDF manipulation, Matteo’s work contributed to a smoother user experience and reduced support overhead, with minimal impact on performance.