Related Experiment Video
Updated: Jul 7, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
Published on: June 18, 2021
Adaptive restoration of textured images with mixed spectra
R Krishnamurthy1, J W Woods, J M Francos
1Dept. of Electr. Comput. and Syst. Eng., Rensselaer Polytech. Inst., Troy, NY.
Abstract:
We consider the adaptive restoration of inhomogeneous textured images, where the individual regions are modeled using a Wold-like decomposition. A generalized Wiener filter is developed to accommodate mixed spectra, and unsupervised restoration is achieved by using the expectation-maximization (EM) algorithm to estimate the degradation parameters. This algorithm yields superior results when compared with supervised Wiener filtering using autoregressive (AR) image models.
Related Concept Videos
Reconstruction of Signal using Interpolation
Aliasing
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview
The ATR process begins by directing a beam...
