Work place: Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, India
Research Interests: Computer systems and computational processes, Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms
Sonam received the M.C.A. degree in computer science from Babasaheb Bhimrao Ambedkar University, Lucknow, India, in 2012. She is currently working toward the Ph.D. degree at Babasaheb Bhimrao Ambedkar University, Lucknow, India. Her research interest focuses on image fusion and image enhancement.
DOI: https://doi.org/10.5815/ijisa.2017.01.04, Pub. Date: 8 Jan. 2017
The main objective of image fusion is to obtain an enhanced image with more relevant information by integrating complimentary information from two source images. In this paper, a novel image fusion algorithm based on discrete wavelet transform (DWT) and cross bilateral filter (CBF) is proposed. In the proposed framework, source images are decomposed into low and high frequency subbands using DWT. The low frequency subbands of the transformed images are combined using pixel averaging method. Meanwhile, the high frequency subbands of the transformed images are fused with weighted average fusion rule where, the weights are computed using CBF on both the images. Finally, to reconstruct the fused image inverse DWT is performed over the fused coefficients. The proposed method has been extensively tested on several pairs of multi-focus and multisensor images. To compare the results of proposed method with different existing methods, a variety of image fusion quality metrics are employed for the qualitative measurement. The analysis of comparison results demonstrates that the proposed method exhibits better results than many other fusion methods, qualitatively as well as quantitatively.[...] Read more.
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