Image Blending

Image blending, the process of seamlessly combining multiple images, is a core technique in computer vision with applications ranging from data augmentation to advanced image manipulation and forgery detection. Current research focuses on improving blending quality, particularly addressing issues like brightness distortion and low resolution, often employing diffusion models, vision transformers, and graph convolutional networks to achieve more realistic and contextually aware results. These advancements are driving improvements in various fields, including image generation, object removal, and the development of more robust deepfake detection methods. Furthermore, research explores efficient blending techniques for large datasets and computationally intensive tasks like video processing.