A Block And Pixel Level Parametric Fuzzy Technique To Improve Fusion Process on Temporal Images

Ravi Kant; Mukta Goel; Rohit Goel

Volume : IV, Issue : X, October - 2014

A Block And Pixel Level Parametric Fuzzy Technique To Improve Fusion Process on Temporal Images

Ravi Kant, Mukta Goel, Rohit Goel

Abstract :

Capturing the temporal images in bad weather conditions, results in the partial damaged or distorted images. An uncertain image distortion can have remarkable impact on its usage in computer vision systems. In this paper, a block and pixel level parametric fuzzy technique is defined to congregate information for recovering partial damaged parts of temporal images. In this technique, fuzzy block analysis is defined on various parameters to identify the damaged block sequence on which reconstruction is required. The parameters used are similarity analysis, visibility analysis, intensity analysis and temporal vector analysis. When the damaged blocks are identified, pixel based fusion process is applied for the result image. The work is applied on temporal images and obtained results show the effective improvement in fusion process.