Comparison of image fusion techniques in RGB & Kekre's LUV color space

摘要: With the advent and augmentation of image processing, fusion has emerged as a topic great importance in many research areas such automatic object detection, medical imaging, computer vision, remote sensing, robotics, military law enforcement, classification so on. This dissertation discusses basic concepts fusion, different spatial frequency domain algorithms for fusion. We propose techniques that make use other simple pixel methods combination with transforms & hybrid wavelets instead only using averaging method to fuse images. The transform wavelet based are implemented row, column full transforms. A comparative assessment block level is performed six quality metrics. objective find which gives better results multi-focus color RGB LUV space.