A multi-factor fuzzy based fusion approach for real time sequence images

While capturing the real time images or videos in environmental bad conditions results the distorted or partially occlusion affected images. In this paper, a hybrid block level and pixel level based fusion process is defined to improve the video quality by regenerating the fusion images. In this work, multi-factor fuzzy block analysis is defined to identify the effective sequence block on which reconstruction is required. The analysis factors included in this work are visibility analysis, temporal vector analysis, similarity analysis and intensity analysis. Once the adaptive blocks are obtained, pixel based fusion process is applied for regeneration of image. The work is applied on real time videos and obtained results show the effective improvement in regenerated images.