Automated Image Mosaicing System With Analysis Over Various Image Noise
S Ayushi, Tejashwi Kalp Taru, Rajiv Kumar · International Journal on Computational Science & Applications · 2016
Mosaicing is blending together of several arbitrarily shaped images to form one large balanced image such that boundaries between the original images are not seen.Image mosaicing creates a large field of view using of scene and the result image can be used for texture mapping of a 3D environment too.Blended image has become a wide necessity in images captured from real time sensor devices, bio-medical equipment, satellite images from space, aerospace, security systems, brain mapping, genetics etc. Idea behind this work is to automate the Image Mosaicing System so that blending may be fast, easy and efficient even if large number of images are considered.This work also provides an analysis of blending over images containing different kinds of distortion and noise which further enhances the quality of the system and make the system more reliable and robust.