A Novel Still Image Mosaicing System Using Featureless Registration, Binary Check Stitching And Minimal Blending

Image mosaicing is useful for a variety of tasks in vision and computer graphics. This paper presents a complete system for mosaicing a sequence of multiple still images with some amount of overlapping between every two successive images. There are 3 contributions in this paper. First is a featureless registration method which handles rotation and translation between the images using phase correlation even under blur and noise. The second is an efficient method of stitching of registered images. It removes the redundancy of pasting pixels in the overlapped regions between the images with the help of a binary canvas. The third contribution is a minimal blending approach to remove the seams in the mosaic and preserve the quality close to reality.