Deep Learning for Pixel Level Image Fusion using CSR Technique
D. Bhavana1, K. Kishore Kumar2, V. Rajesh3, M. Swetha Sree4, D. Mounika5, N. Bhavana6
1Dr D. Bhavana, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India – 522502.
2K. Kishore Kumar, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India – 522502.
3Dr. V. Rajesh, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India – 522502.
4M, Swetha Sree, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India – 522502.
5N. Bhavana, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India – 522502.
6D. Mounika, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. -522502.
Manuscript received on 16 March 2019 | Revised Manuscript received on 21 March 2019 | Manuscript published on 30 July 2019 | PP: 792-797 | Volume-8 Issue-2, July 2019 | Retrieval Number: F2525037619/19©BEIESP | DOI: 10.35940/ijrte.F2525.078219
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© 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: By combining the information contained in various pictures of steady scene into one composite picture, pixel level picture combination is perceived as having high essentialness amid a kind of fields just as restorative imaging, photography, remote detecting, video police examination, and so on. Most the techniques listed above are of late arranged picture combination ways bolstered Deep Learning methods. Convolutional meager portrayal (CSR) is presented. Finally, by condensing the present DL-based picture combination ways into many edge works and exhibiting a conceivable DL-based system for creating target investigation measurements, we tend to advocate a few prospects for the more drawn out term examine on this point.
Index Terms: Deep learning, Image Fusion, Convolutional Sparse Representation
Scope of the Article: Deep learning