TY - GEN
T1 - Sensor optimal image interpolation
AU - Price, J. R.
AU - Hayes, M. H.
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999
Y1 - 1999
N2 - Previously, we derived sensor optimal prefilters for image interpolation. The prefilters were applied prior to integer interpolation with a standard (e.g., linear or cubic) kernel. Here we expand upon that notion and construct complete, sensor optimal interpolation kernels for rational interpolation factors. After restating the interpolation problem in a reconstruction-like fashion, we employ a simple model of the image capture system to derive the MMSE interpolator. Results indicate significant subjective improvements over cubic interpolation, for little extra computation.
AB - Previously, we derived sensor optimal prefilters for image interpolation. The prefilters were applied prior to integer interpolation with a standard (e.g., linear or cubic) kernel. Here we expand upon that notion and construct complete, sensor optimal interpolation kernels for rational interpolation factors. After restating the interpolation problem in a reconstruction-like fashion, we employ a simple model of the image capture system to derive the MMSE interpolator. Results indicate significant subjective improvements over cubic interpolation, for little extra computation.
UR - http://www.scopus.com/inward/record.url?scp=0033340525&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.1999.831909
DO - 10.1109/ACSSC.1999.831909
M3 - Conference contribution
AN - SCOPUS:0033340525
T3 - Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
SP - 1262
EP - 1266
BT - Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999
Y2 - 24 October 1999 through 27 October 1999
ER -