Shape Deblurring with Unsharp Masking Applied to Mesh Normals

Unsharp masking is a well-known image sharpening technique. Given an image and its smoothed version, amplifying high frequencies of the image via unsharp masking is achieved by linear extrapolation of the input images. In this paper, we adapt the unsharp masking technique for 3D shape deblurring purposes. Consider a blurred shape represented by a triangle mesh. Usually such a shape results from a 3D data corrupted by noise and then oversmoothed. First we apply unsharp masking to the mesh normals. To smooth the filed of mesh normals we use several local averaging iterations applied to the mesh normals (iterative mean filtering). Then we apply linear extrapolation of the original and smoothed fields of normals. Finally we reconstruct the deblurred mesh by integrating the field of extrapolated normals. We also give a quantitative evaluation of the proposed unsharp masking technique. To perform the evaluation, we use $L^2$ error metrics on mesh vertices and normals. Experimental results show that the unsharp masking technique is effective for shape deblurring

Why design history? : A multi-national perspective on the state and purpose of the field

This article asks: what is the significance of design history within higher education? It reviews the practice and purpose of design history, in terms of its role in the education of historically aware and critically engaged designers, as an emerging independent discipline, and in terms of what the subject has to offer allied fields such as history, sociology, cultural studies, area studies and anthropology. It considers the development and current state of design history as it is taught in the UK and wider Europe, the US, Australia, and Japan, China and Korea. The argument that follows is grounded in recent design historical scholarship in order to provide both a contemporary perspective on current practice and suggestions about possible futures.Peer reviewe