Image Reconstruction and Evaluation: Applications on Micro-Surfaces and Lenna Image Representation

Image Reconstruction and Evaluation: Applications on Micro-Surfaces and Lenna Image Representation

This article develops algorithms for the characterization and the visualization of microscale features by using a small number of sample points, and with a goal to mitigate for the measurement shortcomings which are often destructive or time consuming. The popular measurement techniques which are used in imaging micro-surfaces may include 3D stylus or interferometric profilometry and Scanning E...

Image Processing on Projections and Its Applications for Image Reconstruction

Key members: Péter Balázs [1] Antal Nagy [2] László Varga [3] László G. Nyúl [4] Founded by: PhD Scholarship of the Doctoral School in Informatics of the University of Szeged [5] János Bolyai Research Scholarship of the Hungarian Academy of Sciences [6] TÁMOP-4.2.1/B-09/1/KONV-2010-0005 program of the Hungarian National Development Agency [7] OTKA PD100950 grant of the Hungarian Scientific Rese...

Image Classification via Sparse Representation and Subspace Alignment

Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data