Abstract—Data fusion techniques can combine data from multiple information sources to achieve improved accuracies and enhanced precision. The study aims at evaluation of data fusion technique using frequency distribution analysis. Frequency distribution analysis is carried out using Matlab and Simulink, which summarizes image statistics and represents them in histogram. Energy associated with the image is studied using singular value decomposition (SVD) analysis. Considering images as input data, data fusion is carried out by using commercial available software. It is shown that the quality of image after fusion is substantially improved. By image processing and analyzing the results, it is tried to affirm that synergy is obtained using data fusion technique.

Index Terms—Data fusion, image processing, frequency distribution analysis, singular value decomposition .

The authors are with Collaborative Micro-electronic Design Excellence Centre (CEDEC), Universiti Sains Malaysia, Engineering Campus, 14300, Malaysia (e-mail: reachquadri@yahoo.com, othman@cedec.usm.my).

Cite: S. A. Quadri and Othman Sidek, "Image Quality Improvement of Low-Resolution Camera Using Data Fusion Technique ," International Journal of Computer and Electrical Engineering vol. 4, no. 5, pp. 710-714, 2012.