Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising - 2012 PROJECT TITLE :Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising - 2012ABSTRACT: This paper introduces a class of adaptive Perona-Malik (PM) diffusion, which combines the PM equation with the heat equation. The PM equation provides a potential algorithm for image segmentation, noise removal, edge detection, and image enhancement. However, the defect of traditional PM model is tending to cause the staircase effect and create new features in the processed image. Utilizing the edge indicator as a variable exponent, we can adaptively control the diffusion mode, which alternates between PM diffusion and Gaussian smoothing in accordance with the image feature. Computer experiments indicate that the present algorithm is very efficient for edge detection and noise removal. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Image Size Invariant Visual Cryptography for General Access Structures Subject to Display Quality Constraints - 2013 Adaptive Steganalysis of Least Significant Bit Replacement in Grayscale Natural Images - 2012
