FPGA based Image Enhancement using KNN and PSO with BM3D
Mandar D. Sontakke1, Meghana Kulkarni2
1Mr. Mandar D. Sontakke *, Department of PG Studies, Visvesaraya Technological University, Belgaum, Karnataka, India.
2Dr. Meghana Kulkarni, Department of PG Studies, Visvesaraya Technological University, Belgaum, Karnataka, India.
Manuscript received on April 18, 2020. | Revised Manuscript received on July 22, 2020. | Manuscript published on April 30, 2020. | PP: 688-693 | Volume-9 Issue-4, April 2020. | Retrieval Number: C6543029320/2020©BEIESP | DOI: 10.35940/ijeat.C6543.049420
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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: Picture upgrade utilizing streamlined strategies alongside advanced channels is need of current period. A tale system is proposed right now, have KNN based pixels orders technique. This arrangement is utilized to distinguish commotion level and just boisterous pixels are prepared utilizing upgraded BM3D utilizing molecule swarm improvement. The outside gathering pixels are brought once again into bunch in this way expelling the clamor. The procedure is additionally trailed by goals improvement and Retinex for dynamic introduction reason. The FPGA usage is done to approve the aftereffects of upgrade. The performance evaluation of the proposed method shows better results over other techniques using FPGA experimentation.
Keywords: PSO, KNN, BM3D, nonlinear noise delineation, Retinex, FPGA, Resolution enhancement.