Underwater Image Restoration Based on Image Fusion
B.Arivuselvam1, M.Madhushalini2, T.Nivetha3, M.G.Rufus4
1Mr.B.Arivuselvam, Assistant Professor, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai India.
2M.Madhushalini, UG Student, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai India.
3T.Nivetha, UG Student, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai India.
4M.G.Rufus, UG Student, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai India.
Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 621-626 | Volume-9 Issue-2, July 2020. | Retrieval Number: B3715079220/2020©BEIESP | DOI: 10.35940/ijrte.B3715.079220
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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: The haziness in underwater images occurs due to two major phenomena namely absorption and scattering of light. Hence, we have proposed an image fusion-based approach to improve the visibility of images obtained underwater. The proposed method uses a single hazy image. Initially the colour corrected and contrast improved versions of the image are obtained. Further, Laplace transform is applied which is followed by replication and saliency mapping on each of the derived images. Multi-scale image fusion technique has been used to combine the inputs. This enables each of the fused images to contribute the most essential feature to obtain the resultant image. Thus, the proposed method significantly restores the quality of the input distorted images.
Keywords: Adaptive histogram equalization, Image fusion, Laplace Transform, Underwater image.