Open-source watermark segmentation by DiffusionDynamics.ai and clear.photo. Harness deep learning plus synthetic data augmentation in PyTorch to detect logos/text precisely. This minimal code references top research for robust, adaptable watermark removal.

Open-source watermark segmentation by DiffusionDynamics.ai and clear.photo. Harness deep learning plus synthetic data augmentation in PyTorch to detect logos/text precisely. This minimal code references top research for robust, adaptable watermark removal.

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Remove watermarks from PDF using Otsu threshold segmentation and OpenCV inpaint

Visible Watermark removal with segmentation (SAM) and inpainting (UNet, Llama and Stable Diffusion)

Implementation of Image Processing and Computer Vision algorithms featuring spatial filtering, wavelets, digital watermarking, and fundus image segmentation using Python/OpenCV.

This course provides an overview of digital image processing, including noise filtering, edge enhancement, morphological operations, wavelet transforms, image segmentation, boundary detection, shape description, image compression, and basic watermarking techniques.