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Image Fusion Technique Using Gaussian Pyramid

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Book cover Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1035))

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Abstract

The aim of image fusion is to combine similar information from multiple images into a single image. The methods which are based on discrete cosine transform (DCT) of image fusion are more competent and time-saving in real-time systems using DCT based standards of still Image. The existing DCT based methods are suffering from some side effects like blurring which can reduce the quality of the output image. To address this issue, the paper proposing new method for image fusion using Gaussian pyramid in DCT domain. The pyramid fusion provides better fusion quality. The execution time is extremely reduced, compare with existing methods. This method can be used for multi model image fusion as well as fusion of complementary images. The algorithm given in proposed system is simple and easy to implement. Also, it could be used for real time applications. The performance of our method is analyzed and compared with other image fusion methods. Experimental results show that there is no difference between the result of our method and water-based image fusion result. But our algorithm is carried out in DCT domain; it is efficient in processing time and simple.

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Acknowledgments

Dr. B. Sujatha received the Doctorate degree from JNT University, Kakinada in 1997 and received her M. Tech. (Computer Science & Engineering) from Andhra University in 2002. She is having 10 years of teaching experience. Presently she is working as an Assoc. Professor in GIET, Rajahmundary. She has published 1 research publications in Inter National Journal. She is a member of SRRF-GIET, Rajahmundry. She is pursuing her Ph.D from Mysore University in Computer Science under the guidance of Dr. V. Vijaya Kumar. Her research interest includes Image Processing and Pattern Recognition. She is a Life member of ISCA.

B. Vanajakshi received the Doctorate degree from JNTUH, Hyderabad Presently she is working as Professor in SRK Institute of Technology, Vijayawada. She has published more than 20 research publications in various National, Inter National conferences, proceedings and Journals. She is a Life member of IETE.

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Authors and Affiliations

  1. Godavari Institute of Engineering and Technology, Rajahmundry, AP, India

    B. Sujatha

  2. SRK Institute of Technology, Vijayawada, AP, India

    B. Vanajakshi

  3. Vignan University, Vadlamudi, AP, India

    Nitta Gnaneswara Rao

Authors
  1. B. Sujatha
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  2. B. Vanajakshi
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  3. Nitta Gnaneswara Rao
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Corresponding author

Correspondence to B. Sujatha .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Sujatha, B., Vanajakshi, B., Gnaneswara Rao, N. (2019). Image Fusion Technique Using Gaussian Pyramid. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. https://doi.org/10.1007/978-981-13-9181-1_60

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  • DOI: https://doi.org/10.1007/978-981-13-9181-1_60

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9180-4

  • Online ISBN: 978-981-13-9181-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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