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Publication Type : Conference Proceedings
Publisher : Procedia Computer Science, 6th International Conference on Advances in Computing and Communications
Source : Procedia Computer Science, 6th International Conference on Advances in Computing and Communications , ICACC-2016, Elsevier, Volume 93, Rajagiri School of Engineering and Technology, Kochi, India, p.495-502 (2016)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2016
Abstract : The major problem in digital image processing is the presence of unwanted frequencies(noise). In this paper ℓ1 trend filter is proposed as an image denoising technique. ℓ1-trend filter estimates the hidden trend in the data by formulating a convex optimization problem based on ℓ1 norm. The proposed method extends the application of ℓ1 trend filter from one dimensional signals to three dimensional color images. Here the filter is applied over the image in a cascade, initially filtering along the rows followed by filtering along the columns. This identifies the hidden image information from the noisy image resulting in a smooth or denoised image. The proposed method is compared with the wavelet denoising technique using the quality metrics Peak-Signal-to-Noise-Ratio(PSNR) and Structural Similarity Index(SSIM). © 2016 The Authors. Published by Elsevier B.V.
Cite this Research Publication : Sreelekshmy Selvin, S .GAjay, B.Ganga Gowri, Sowmya, and Dr. Soman K. P., “l1 Trend Filter for Image Denoising”, Procedia Computer Science, 6th International Conference on Advances in Computing and Communications , ICACC-2016, vol. 93. Elsevier, Rajagiri School of Engineering and Technology, Kochi, India, pp. 495-502, 2016.