- Authors:
- DOI:
- 10.1109/83.370673
- Abstract:
- This paper presents a method for designing finite impulse response (FIR) filters for samples of a 2-D signal, e.g., an image, and its gradient. The filters, which are called blended filters, are decomposable in three filters, each separable in 1-D filters on subsets of the data set. Optimality in the minimum mean square error sense (MMSE) of blended filtering is shown for signals with separable autocorrelation function. Relations between correlation functions for signals and their gradients are derived. Blended filters may be composed from FIR Wiener filters using these relations. Simple blended filters are developed and applied to the problem of gray value image reconstruction from bilevel (scanned) clustered-dot halftone images, which is an application useful in the graphic arts. Reconstruction results are given, showing that reconstruction with higher resolution than the halftone grid is achievable with blended filters
- Type:
- Journal article
- Language:
- English
- Published in:
- I E E E Transactions on Image Processing, 1995, Vol 4, Issue 4, p. 448-459
- Keywords:
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Review type:
- Peer Review
- Submission year:
- 1995
- Scientific Level:
- Scientific
- ID:
- 2185782420
0000-0002-6698-8870
Checking for on-site access...
