Sharpness Enhancement and Denoising of Image Using L1-Norm Minimization Technique in Adaptive Bilateral Filter

Shahla Naureen Khan, Chhabikiran Sao

Abstract: In Image processing, Image restoration technique plays a vital role. Removing mixed noise from images is a challenging problem. This paper presents a novel technique of Image sharpening and Denoising using the L1-norm minimization technique in Adaptive Bilateral Filtering. The objective of this paper is to explore the advantage of new technique over the existing ones. This employs comparison of results obtained using both L1 and L2-norm minimization techniques. In this paper, we consider Least Absolute Deviation (L1) method for image restoration in ABF. This method finds application in many areas due to its robustness as compared to Least Squares method (L2).

Keywords: L1 and L2 norms, LAD, Least squares, ABF, Image Restoration

How to Cite?: Shahla Naureen Khan, Chhabikiran Sao, "Sharpness Enhancement and Denoising of Image Using L1-Norm Minimization Technique in Adaptive Bilateral Filter", Volume 3 Issue 11, November 2014, International Journal of Science and Research (IJSR), Pages: 1649-1652, https://www.ijsr.net/getabstract.php?paperid=OCT141352, DOI: https://dx.doi.org/10.21275/OCT141352