Image Fusion using Mallat Algorithm of Wavelet Transform
Vamsidhar Enireddy1, Karthikeyan C2, Manikandan J3
1Vamsidhar Enireddy, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (KLEF), KL University, Vaddeswaram, Guntur, Andhra Pradesh, India.
2Karthikeyan C, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (KLEF), KL University.
3Manikandan J, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation (KLEF), KL University.
Manuscript received on 24 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 2207-2210 | Volume-8 Issue-11, September 2019. | Retrieval Number: K20400981119/2019©BEIESP | DOI: 10.35940/ijitee.K2040.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In image processing, image fusion is separating the data from multi-source pictures and has a major scope in processing an image. A completed fused image is acquired by averaging the two images. Wavelet transform based algorithm is proposed to enhance the image, wherein two images to be prepared are right off the bat deteriorated into sub-images with various recurrence, and after that the information is fused using these images specific paradigm, lastly these sub-images are reconstructed into the outcome image with copious information. Correlation and SNR parameters are utilized to analyze the fused images.
Keywords: Image fusion, wavelet, Image processing, Correlation, SNR.
Scope of the Article: