Image convolution in testing refers to the process of applying a filter or kernel to an image to enhance or extract specific features for analysis. This technique is commonly used in visual testing to identify patterns, shapes, or anomalies in graphical elements. By convolving an image with different filters, testers can detect variations, defects, or visual discrepancies that may not be easily identifiable through traditional testing methods. Image convolution plays a crucial role in validating the visual aspects of software applications, ensuring that the graphical elements meet the required quality standards.