The early days of computer vision saw significant innovation despite memory constraints, exemplified by the Efficient Chain-Linking Algorithm developed at Inria in the late 1980s. This algorithm showcases how to process images efficiently by dynamically linking pixel chains while minimizing memory usage, a technique that remains relevant even with modern advancements in computer vision. The preservation of this legacy code is part of a broader initiative to archive important historical software from Inria.

MaskMark is a novel framework for image watermarking that offers two variants: MaskMark-D for global and local watermark extraction, and MaskMark-ED for enhanced robustness in localized areas. It employs a masking mechanism during the decoding and encoding stages to improve accuracy and adaptability while maintaining high visual quality. Experimental results demonstrate its superior performance over existing models, requiring significantly less computational cost.