Underwater Image Enhancement using HOG and SIFT Method
Ashima Gupta1, Reecha Sharma2
1Ashima Gupta , M. tech final year Student of Electronics and Communication Department from Punjabi University, Patiala.
2Dr. Reecha Sharma, Assistant Professor in Electronics and Communication Department from Punjabi University, Patiala.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 3275-3279 | Volume-8 Issue-6, August 2019. | Retrieval Number:F8840088619/2019©BEIESP | DOI: 10.35940/ijeat.F8840.088619
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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: Capturing underwater images can be considered as form of art and collecting data of underwater environment which plays major role in the field of marine biology research, marine zoology and ecology study. It also plays a significant role in scientific missions such as analyzing marine life species, taking census of population and monitoring underwater biological environment. Underwater imaging also offers many other attractions such as aquatic plants and animals, different types and species of fishes, shipwrecks, coral reef and beautiful landscapes. But the captured images lack contrast and are hazy due to absorption and scattering. Thus the quality of the image gets deteriorated. The degraded underwater images can be enhanced using different methods. This research work proposed the white balancing technique and image blending process to improve the degraded images. The image blending can be done using the methods of feature matching. The features can be matched using HOG and SIFT methods. The proposed technique is implemented in MATLAB and results are analyzed in the terms of PSNR and MSE
Keywords: HOG, Image Fusion, MSE, PSNR, SIFT, Underwater images.