Color Contrast

Color contrast, the difference in luminance or color between objects or regions in an image, is crucial for visual perception and image analysis. Current research focuses on improving contrast enhancement techniques across diverse applications, including medical imaging (e.g., MRI, ultrasound) and low-light photography, employing methods like generative adversarial networks, tensor decomposition, and wavelet transforms within deep learning frameworks. These advancements aim to improve diagnostic accuracy in medicine, enhance object detection in challenging conditions, and optimize image processing for various tasks, ultimately impacting fields ranging from healthcare to computer vision.