Title :
Optimal prefiltering for improved image interpolation
Author :
Price, Jeffery R. ; Hayes, Monson H., III
Author_Institution :
Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper we derive an optimal (MMSE) prefilter for image interpolation. This derivation is based upon a model of the sensor used to capture the image. To employ this model, we restate the interpolation problem in an intuitive, reconstruction-like fashion. Using a simple CCD sensor model, an example prefilter is derived. Simulations with this prefilter are performed using linear and cubic interpolation as well as an ad hoc, directional interpolation scheme. Quantitative and subjective results indicate that prefiltering generally improves the quality of the interpolated images.
Keywords :
CCD image sensors; filtering theory; image processing; image reconstruction; interpolation; least mean squares methods; CCD sensor model; MMSE; cubic interpolation; directional interpolation; image interpolation; image quality improvement; linear interpolation; optimal prefiltering; quantitative results; subjective results; Charge coupled devices; Digital cameras; Filters; Image reconstruction; Image resolution; Image sensors; Interpolation; Iterative methods; Layout; Signal processing;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751405
