Binary Image

Binary images, representing data as pixels with only two values (e.g., black and white), are fundamental in computer vision and image processing. Current research focuses on improving algorithms for tasks such as edge detection (using convolutional state space models and morphological operations), efficient compression (leveraging multi-level dictionaries and latent diffusion models), and topology-preserving downsampling for applications like medical image analysis. These advancements enhance the accuracy, speed, and efficiency of various image processing tasks, impacting fields ranging from medical imaging and autonomous driving to general image analysis and machine learning.