De-noising of PV Thermal Image by using Wavelet Transform
V Jamuna1, R Abinaya2, VN Abinaya3, V Anunavamikka4, R Deepika5
1Mrs V Jamuna, Assistant Professor, Department of ECE, M.Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
2R Abinaya, Department of ECE, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
3V N Abinaya, Department of ECE, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
4V Anunavamikka, Department of ECE, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
5R Deepika, Department of ECE, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
Manuscript received on 25 May 2019 | Revised Manuscript received on 03 June 2019 | Manuscript Published on 22 June 2019 | PP: 335-338 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C10680283S19/19©BEIESP
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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: In this paper we focused on removal of noise in thermal image. Thermal image is a technique to improve the visibility of object in dark environment. Thermal imaging camera is a device that captures the image of the object and displayed on its screen. Noise in thermal image is for predicting the performance of thermal image system. Noisy images are found in many imaging application. Image acquisition and image transmission are the noise sources. De-noising of images is most important task in image processing. Linear as well as non-linear methods can be done in de-noising. Filtering can be used for removing of noise in the image. For that we use DWT method as an algorithm. The reconstructed image quality can be measured by the parameters such as SNR, PSNR, MSE, and SSIM.
Keywords: Noising, De-noising, Filtering, DWT Wavelet.
Scope of the Article: Image Security