image-enhancement

This collection encompasses advanced techniques and methodologies in image enhancement across various applications, including medical imaging, climate monitoring, and underwater photography. It features discussions on deep learning frameworks for cancer detection, edge-based segmentation for environmental studies, and noise reduction methods for ultrasonic images. Key themes include pixel manipulation, filtering, and the use of hybrid approaches to improve image quality and analysis accuracy, underscoring the critical role of image processing in diverse fields.