Image processing – definition
Image processing encompasses digital techniques applied to photographs for analysis, modification, anonymization or quality enhancement, such as face masking, color correction or metadata removal. It is essential for privacy protection, GDPR compliance, and efficient management of visual data in both local and cloud environments.
Tools used in image processing
Applications range from AI-based anonymization and image editors to automated workflows for large-scale photo handling, running on-premise or cloud platforms to facilitate secure and rapid processing.
Benefits of image processing
Supports effective protection of personal data within images, enables lawful publication and archiving, and offers automation and quality control in image-based workflows.
Risks of image processing
Inadequate anonymization may expose identities, and errors can degrade image fidelity or lose critical information. Safeguards and audits help reduce these risks. In the case of automated mass processing, it is important to consider that a small percentage of processed data may be omitted by the algorithms. However, this is unavoidable if we want to process large volumes without additional human verification.
Examples of using image processing
Publishing event photos often includes automatic masking of non-consenting individuals’ faces to comply with privacy regulations. Publishing images of children. Preparing training and health and safety videos.